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React Native Mobile Developer (Frontend Specialist) <br>Role Overview <br>We are looking for a high-performance React Native Developer to lead the frontend architecture of our gamified football training application. In this role, you will build a dynamic, fluid user interface packed with animations and custom canvases. You will also manage the mobile device's camera pipeline, ensuring seamless hand-offs between local video recordings, on-device AI wrappers, and our backend services. <br>Core Responsibilities <br>Video & Device Architecture: Implement robust local video recording workflows using libraries like react-native-vision-camera. <br>Native Thread Hand-off: Optimize asynchronous background file tasks, ensuring heavy data streams (like video pathways and coordinate arrays) don't lock or freeze the JavaScript thread. <br>Gamification & High-Performance UI: Build smooth animations, custom progress tracking visuals, and custom skeleton canvas overlays using react-native-reanimated and React Native Skia. <br>Hands-Free UX: Integrate highly stable cross-platform audio systems to handle audio-driven countdowns and training cues for players who are far away from the phone. <br>Technical Requirements <br>React Native Expertise: Minimum 3+ years of professional React Native development experience. <br>Native Bridging Capabilities: Comfort working with Native Modules or TurboModules to interact with Swift/Kotlin wrappers for AI models (CoreML / TensorFlow Lite). <br>State & Data Management: Strong understanding of processing large typed data arrays efficiently without degrading rendering performance. <br>Bonus Points: Experience developing sports tracking, health, fitness, or highly interactive gaming/gamified applications

React Native Mobile Developer (Frontend Specialist) <br>Role Overview <br>We are looking for a high-performance React Native Developer to lead the frontend architecture of our gamified football training application. In this role, you will build a dynamic, fluid user interface packed with animations and custom canvases. You will also manage the mobile device's camera pipeline, ensuring seamless hand-offs between local video recordings, on-device AI wrappers, and our backend services. <br>Core Responsibilities <br>Video & Device Architecture: Implement robust local video recording workflows using libraries like react-native-vision-camera. <br>Native Thread Hand-off: Optimize asynchronous background file tasks, ensuring heavy data streams (like video pathways and coordinate arrays) don't lock or freeze the JavaScript thread. <br>Gamification & High-Performance UI: Build smooth animations, custom progress tracking visuals, and custom skeleton canvas overlays using react-native-reanimated and React Native Skia. <br>Hands-Free UX: Integrate highly stable cross-platform audio systems to handle audio-driven countdowns and training cues for players who are far away from the phone. <br>Technical Requirements <br>React Native Expertise: Minimum 3+ years of professional React Native development experience. <br>Native Bridging Capabilities: Comfort working with Native Modules or TurboModules to interact with Swift/Kotlin wrappers for AI models (CoreML / TensorFlow Lite). <br>State & Data Management: Strong understanding of processing large typed data arrays efficiently without degrading rendering performance. <br>Bonus Points: Experience developing sports tracking, health, fitness, or highly interactive gaming/gamified applications

<p><strong>Overview</strong></p><p>We are seeking a detail-oriented Data Entry and Proofreading Specialist to join our team in Mount Lebanon, Lebanon.&nbsp;</p><p>This entry-level role offers an opportunity to contribute to accurate data management and document quality across various projects.&nbsp;</p><p>You will collaborate with cross-functional teams to ensure data integrity, timely processing, and error-free content that meets our standards.</p><p>&nbsp;</p><p><strong>Key Responsibilities</strong></p><p>&nbsp;</p><ul><li>Enter, update, and maintain data in designated databases and systems with high accuracy.</li><li>Proofread and edit documents for grammar, punctuation, formatting, and consistency.</li><li>Identify and correct data discrepancies, missing information, or duplication issues.</li><li>Follow standardized data entry procedures and quality checks to ensure data integrity.</li><li>Collaborate with team members to clarify data requirements and resolve ambiguities.</li><li>Maintain organized records and provide timely status updates on tasks.</li><li>Assist with data reconciliation and reporting as needed.</li><li>Adhere to data security and confidentiality policies.</li></ul><p>&nbsp;</p><p><strong>Qualifications and Requirements</strong></p><ul><li>High school diploma or equivalent; additional coursework in data entry or language studies is a plus.</li><li>Entry-level experience or internship in data entry, admin support, or proofreading is preferred but not required.</li><li>Strong attention to detail and accuracy in handling large volumes of data.</li><li>Proficient in written and spoken Arabic; strong command of English grammar and spelling.</li><li>Basic computer skills and familiarity with common office software (e.g., MS Word, MS Excel) and data entry tools.</li><li>Ability to manage time effectively, meet deadlines, and work independently as well as as part of a team.</li><li>Good organizational skills and the ability to prioritize tasks in a fast-paced environment.</li></ul><p>&nbsp;</p><p><strong>Required Skills</strong></p><ul><li>Attention to detail</li><li>Typing speed and accuracy</li><li>Proofreading and copy-editing</li><li>Data management and database familiarity</li><li>Problem-solving and critical thinking</li><li>Strong communication and collaboration</li><li>Time management and reliability</li></ul><p>&nbsp;</p><p><strong>Benefits and Perks</strong></p><ul><li>Competitive salary and performance-based incentives</li><li>Opportunity for growth and training in data disciplines</li><li>Supportive team environment with a focus on professional development</li><li>Flexible work arrangements where feasible</li><li>Local benefits in accordance with company policies</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.</p><br><p>The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner…</p><br><p><strong>What you will be doing?<br></strong>As a Data Engineer, your role involves crafting and maintaining robust data pipelines, utilising Python and SQL, to ensure efficient extraction, transformation, and loading (ETL) of data.<br></p><br><p><strong>Your responsibilities will include:</strong></p><br><ul><li>Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms.</li><li>Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions.</li><li>Cloud Services Integration: Leveraging cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions.</li><li>Machine Learning Integration: Collaborating with teams to integrate machine learning models into data pipelines for enhanced data processing.</li><li>Utilising Spark &amp;amp; Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics.</li></ul><p><strong>What we are looking for?</strong></p><br><ul><li>Proficiency in Python, SQL, and database management.</li><li>Experience with Data Pipelines ETL, Cloud Services (<strong>MS Azure, GCP preferred)</strong>, ML Modeling, Spark &amp;amp; Kafka.</li><li>Proven problem-solving skills and a solution-oriented mindset.</li><li>Excellent communication skills to collaborate effectively within teams and with stakeholders.</li><li>Strong business acumen with an interest in business-facing roles.</li><li>Adaptability and a start-up mentality to thrive in a dynamic environment.</li><li>Candidates with similar skill sets and experiences have excelled in technology firms or consultancy firms.</li><li>Successful candidates often possess Computer Science, Electronics, and Communication Engineering degrees.</li></ul> </div>

Company Description <br>RAY Labs is a PropTech company based in Beirut, focused on addressing the pain points related to space and community management. Our core product is a mobile and web SaaS platform offering dynamic features, allowing property, facility, and community managers to efficiently manage communities and spaces. By equipping stakeholders with the relevant capabilities and tools, our platform improves operational efficiency, payment convenience, community engagement, and reduces administrative work. <br> <br>Position Overview <br>We are seeking a talented Junior Mobile Developer to join our development team. The ideal candidate will have a passion for creating responsive, efficient, and user-friendly mobile applications for iOS and Android, including our Kotlin Multiplatform codebase. <br> <br>Responsibilities <br>· Develop and maintain our iOS and Android apps, including shared code built with Kotlin Multiplatform, ensuring code quality, performance, and responsiveness. <br>· Unit-test code for robustness, including edge cases, usability, and general reliability. <br>· Write clean, modular, and well-documented code following best practices and coding standards. <br>· Collaborate with designers to translate design mockups and wireframes into responsive and interactive user interfaces. <br>· Contribute to design by staying on top of iOS and Android design practices and advising our UI/UX designers. <br>· Work closely with backend developers to integrate front-end components with server-side logic. <br>· Stay up-to-date with the latest relevant development trends, tools, and technologies, and share knowledge with the team. <br>· Participate in Agile development processes including sprint planning, daily stand-ups, and retrospectives. <br> <br>Requirements <br>· 1+ years of professional experience in iOS, Android, and/or Kotlin Multiplatform development. <br>· Understanding of Apple's and/or Google's mobile design principles and interface guidelines. <br>· Experience with RESTful APIs and asynchronous programming. <br>· Solid understanding of core programming principles. <br>· Experience with version control systems such as Git. <br>· Proficiency in Material Design and Jetpack Compose is a plus

<p>Aspire Software is looking for a AI Developer to join our team in Lebanon. Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.</p><p>About the job: This role sits at the center of that buildout. You ll ship near-term product features while helping us make the right architectural decisions for what s coming. We need someone who can execute and see around corners someone who understands both the product experience and the platform mechanics underneath it.</p><p>Key Responsibilities</p><ul><li>Build and ship AI features using our PHP/MySQL/React/Node stack with OpenAI API integration.</li><li>Extend Astro Core chatbot capabilities new read/write actions, graph generation, analysis outputs.</li><li>Help improve the external MCP connector schema, authentication, capability surface.</li><li>Own prompt engineering for product features: design, test, iterate, and document prompts as first-class product artifacts.</li><li>Build the token metering and usage tracking layer per-feature, per-customer, per-tier.</li><li>Design and implement guardrails, access controls, and rate limiting across the Astro AI platform layer.</li><li>Contribute to agent architecture decisions: tool access, memory design, token pool isolation, training data boundaries.</li><li>Monitor AI feature performance in production latency, cost, output quality, failure modes and drive improvements.</li><li>Stay current on the AI tooling landscape and bring concrete recommendations to the team.</li></ul><p>AI Product Development</p><ul><li>Hands-on experience integrating LLM APIs (OpenAI, Anthropic, or similar) into production applications used by real customers.</li><li>Prompt engineering fluency: system prompts, few-shot examples, structured outputs, tool/function calling, chain-of-thought patterns.</li><li>Understanding of token economics: cost per call, context management, model selection tradeoffs across feature types.</li><li>Experience building quality evaluation and output validation frameworks around AI features.</li><li>Awareness of AI-specific risks: hallucination, prompt injection, data leakage, output inconsistency.</li></ul><p>Platform &amp; Architecture Thinking</p><ul><li>Experience designing or contributing to metered usage systems API rate limiting, consumption tracking, billing integration.</li><li>Familiarity with designing MCP (Model Context Protocol) understanding of how LLM-native integrations differ from traditional REST.</li><li>Ability to reason about multi-tenant access controls: how AI features should behave differently across customer tiers.</li><li>Understanding of agent architecture patterns: tool registries, memory types, token pool management, task delegation.</li></ul><p>Core Stack</p><ul><li>React and Node: able to build frontend components that surface AI features, including data visualizations.</li><li>Solid PHP development experience comfortable extending a production codebase, not just greenfield.</li><li>MySQL: schema design, query optimization, and data modeling for AI feature state and usage tracking.</li><li>Typescript: used on the backend of the MCP layer</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in computer science, Information Systems, Engineering or a related field.</li><li>3+ years of experience in consulting, digital transformation, enterprise software implementation, or AI-related projects.</li><li>Strong understanding of Artificial Intelligence, Machine Learning, Generative AI, and automation concepts.</li><li>Strong presentation, communication, and stakeholder management skills.</li><li>Experience working directly with customers and senior business stakeholders.</li><li>Excellent problem-solving and analytical skills.</li></ul>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Aspire Software is looking for a AI Developer to join our team in Lebanon.</p> <p> <strong>Here is a little window into our company:</strong> Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.</p> <p> </p> <p>About the job: </p> <p>We are deliberately looking for someone who has not worked in COBOL before. The goal is for you to learn the core directly from our senior engineer, in his way, without competing habits to unlearn, so the knowledge transfers cleanly and intact. Your modern engineering instincts are what you bring; the COBOL you will learn from the person who knows it best.</p> <p>This is also why we are looking for an engineer who works fluently with AI. Once you understand how the core actually behaves, modern AI tooling becomes a force-multiplier for documenting it, reasoning about it, and ultimately migrating it to a modern stack. Deep system knowledge and strong AI capability are the two halves of how this modernisation actually gets done, and we expect this hire to bring the second from day one and build the first here.</p> <p>If the idea of going deep into a complex, valuable, decades-old system, and emerging as one of the few people in the world who genuinely understands it, sounds like your kind of challenge, we want to talk to you.</p> In your first six months <ul> <li>Spend a meaningful proportion of your time learning our COBOL core in structured sessions with our senior platform engineer. This is protected time, treated as part of the role, not something you do around other work.</li> <li>Contribute to modern Go services in the stack from week one, on scoped pieces of work that build context without putting you on the critical path.</li> <li>Help us document what you re learning as you learn it. Fresh eyes are uniquely valuable for surfacing the things long-tenured engineers no longer notice.</li> <li>Pair with the existing team across the stack to understand how Go services, the COBOL core, and the surrounding tooling actually interact in production.</li> <li>Use AI tooling deliberately as part of how you learn: to summarise unfamiliar code, surface questions for your mentor, and turn what you learn into clear documentation faster than fresh eyes could alone.</li> </ul> Beyond six months <ul> <li>Take ownership of meaningful work across both the modern and legacy halves of the platform, with growing autonomy.</li> <li>Help repair and modernise core engineering processes: testing, deployment, definition of done, and the way work flows from support into engineering.</li> <li>Contribute to the broader modernisation program: knowledge capture, internal AI tooling, and the eventual decomposition of the platform into smaller, more approachable modules.</li> <li>Lead AI-assisted modernisation of the parts of the core you have come to understand, translating well-understood COBOL into well-tested modern services, with AI as a lever rather than a crutch.</li> <li>Own projects end to end. Work starts from a client-facing Design Doc that describes data flow and outcomes but not detailed technical specs; from there you own the technical design, the implementation, your own alpha testing, and everything in between.</li> <li>Adapt to the business. Priorities can shift at short notice when urgent client issues arise, and you will be expected to flex with them.</li> <li>Mentor the next Go-into-COBOL hire as the team grows.</li> </ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p> </p> <ul> <li>4 7 years of professional software engineering experience, with significant time writing production Go.</li> <li>Comfortable working in a large, complex codebase where the answer is rarely on Stack Overflow. You enjoy reading code more than you fear it.</li> <li>Strong fundamentals: data structures, concurrency, debugging, designing for failure modes. Language familiarity matters less than the habits of mind.</li> <li>Demonstrable, judgment-led fluency with AI in a real engineering workflow. You use AI tools daily to read and understand unfamiliar code, accelerate routine work, and draft documentation, and you can explain clearly where you trust their output and where you don t. We care less about which tools you use than about the judgement you bring to using them. This is a hard requirement for the role.</li> <li>The interpersonal maturity to learn directly from a highly experienced, exacting mentor. You can build trust, adapt to an established way of working, and absorb knowledge patiently, rather than rushing to impose your own approach before you understand why things are the way they are.</li> <li>A genuine willingness, ideally an active interest, in learning COBOL and working in a heritage system. This is not a stepping stone to a pure greenfield role; the COBOL work is the role. No prior COBOL experience is expected or needed; you will learn it here, from the person who knows it best.</li> <li>Strong written communication. You will be helping us turn tribal knowledge into durable documentation.</li> <li>Comfortable with ambiguity. The codebase has decades of history, the documentation is improving but not yet complete, and you will sometimes need to figure things out by reading and asking rather than by looking them up.</li> <li>Based in a UK/EMEA timezone and able to commit to a consistent daily overlap with California (Pacific) working hours. This is a genuine requirement of the role, not a preference: you will be learning directly from our retiring senior, who is based there, so dependable shared hours are essential. You will also keep reliable overlap with the rest of the UK/EMEA team.</li> <li>Comfortable owning the full development cycle and shifting priorities when needed. You will own projects end to end (see What you ll do), and you will sometimes need to reprioritise at short notice for urgent client work. These are the two things new hires here most often underestimate.</li> </ul> <p> </p> <p>Strong indicators</p> <ul> <li>Experience working with or alongside legacy systems: mainframe, monolithic, or otherwise long-lived. You understand that legacy often means load-bearing and treat it with appropriate respect.</li> <li>Experience in domains with deep business logic (finance, logistics, telecoms, insurance, ERP, or similar) where correctness matters more than ergonomics.</li> <li>Comfortable in polyglot environments. Our stack includes Go, the COBOL core, and a long tail of supporting languages and platforms accumulated over years.</li> <li>Track record of improving the engineering practices around you (testing discipline, deployment hygiene, documentation, onboarding) rather than just shipping features.</li> <li>Experience pairing closely with a more senior engineer and absorbing knowledge from them.</li> <li>Experience building or working with AI-assisted developer tooling in a serious production context: agents, code generation, retrieval over large codebases, or similar. You have opinions, grounded in real use, about where it earns its keep.</li> </ul> <p> </p> <p>Nice to have</p> <ul> <li>Experience with car rental, fleet, travel, hospitality, or other operationally complex industries.</li> <li>Experience contributing to a platform modernisation, replatforming, or legacy-to-modern migration program.</li> <li>Familiarity with Perl or PostScript. Parts of the surrounding toolchain still touch both; not a blocker at all if you have not used them, but real exposure is a genuine plus.</li> </ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Aspire Software is looking for a AI Developer to join our team in Lebanon.<br> Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals.<br> By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.<br> About the job: We are deliberately looking for someone who has not worked in COBOL before.<br> The goal is for you to learn the core directly from our senior engineer, in his way, without competing habits to unlearn, so the knowledge transfers cleanly and intact.<br> Your modern engineering instincts are what you bring; the COBOL you will learn from the person who knows it best.<br> This is also why we are looking for an engineer who works fluently with AI.<br> Once you understand how the core actually behaves, modern AI tooling becomes a force-multiplier for documenting it, reasoning about it, and ultimately migrating it to a modern stack.<br> Deep system knowledge and strong AI capability are the two halves of how this modernisation actually gets done, and we expect this hire to bring the second from day one and build the first here.<br> If the idea of going deep into a complex, valuable, decades-old system, and emerging as one of the few people in the world who genuinely understands it, sounds like your kind of challenge, we want to talk to you.<br> In your first six months Spend a meaningful proportion of your time learning our COBOL core in structured sessions with our senior platform engineer.<br> This is protected time, treated as part of the role, not something you do around other work.<br> Contribute to modern Go services in the stack from week one, on scoped pieces of work that build context without putting you on the critical path.<br> Help us document what you’re learning as you learn it.<br> Fresh eyes are uniquely valuable for surfacing the things long-tenured engineers no longer notice.<br> Pair with the existing team across the stack to understand how Go services, the COBOL core, and the surrounding tooling actually interact in production.<br> Use AI tooling deliberately as part of how you learn: to summarise unfamiliar code, surface questions for your mentor, and turn what you learn into clear documentation faster than fresh eyes could alone.<br> Beyond six months Take ownership of meaningful work across both the modern and legacy halves of the platform, with growing autonomy.<br> Help repair and modernise core engineering processes: testing, deployment, definition of done, and the way work flows from support into engineering.<br> Contribute to the broader modernisation program: knowledge capture, internal AI tooling, and the eventual decomposition of the platform into smaller, more approachable modules.<br> Lead AI-assisted modernisation of the parts of the core you have come to understand, translating well-understood COBOL into well-tested modern services, with AI as a lever rather than a crutch.<br> Own projects end to end.<br> Work starts from a client-facing Design Doc that describes data flow and outcomes but not detailed technical specs; from there you own the technical design, the implementation, your own alpha testing, and everything in between.<br> Adapt to the business.<br> Priorities can shift at short notice when urgent client issues arise, and you will be expected to flex with them.<br> Mentor the next Go-into-COBOL hire as the team grows.<br> 4–7 years of professional software engineering experience, with significant time writing production Go.<br> Comfortable working in a large, complex codebase where the answer is rarely on Stack Overflow.<br> You enjoy reading code more than you fear it.<br> Strong fundamentals: data structures, concurrency, debugging, designing for failure modes.<br> Language familiarity matters less than the habits of mind.<br> Demonstrable, judgment-led fluency with AI in a real engineering workflow.<br> You use AI tools daily to read and understand unfamiliar code, accelerate routine work, and draft documentation, and you can explain clearly where you trust their output and where you don’t.<br> We care less about which tools you use than about the judgement you bring to using them.<br> This is a hard requirement for the role.<br> The interpersonal maturity to learn directly from a highly experienced, exacting mentor.<br> You can build trust, adapt to an established way of working, and absorb knowledge patiently, rather than rushing to impose your own approach before you understand why things are the way they are.<br> A genuine willingness, ideally an active interest, in learning COBOL and working in a heritage system.<br> This is not a stepping stone to a pure greenfield role; the COBOL work is the role.<br> No prior COBOL experience is expected or needed; you will learn it here, from the person who knows it best.<br> Strong written communication.<br> You will be helping us turn tribal knowledge into durable documentation.<br> Comfortable with ambiguity.<br> The codebase has decades of history, the documentation is improving but not yet complete, and you will sometimes need to figure things out by reading and asking rather than by looking them up.<br> Based in a UK/EMEA timezone and able to commit to a consistent daily overlap with California (Pacific) working hours.<br> This is a genuine requirement of the role, not a preference: you will be learning directly from our retiring senior, who is based there, so dependable shared hours are essential.<br> You will also keep reliable overlap with the rest of the UK/EMEA team.<br> Comfortable owning the full development cycle and shifting priorities when needed.<br> You will own projects end to end (see What you’ll do), and you will sometimes need to reprioritise at short notice for urgent client work.<br> These are the two things new hires here most often underestimate.<br> Strong indicators Experience working with or alongside legacy systems: mainframe, monolithic, or otherwise long-lived.<br> You understand that “legacy” often means “load-bearing” and treat it with appropriate respect.<br> Experience in domains with deep business logic (finance, logistics, telecoms, insurance, ERP, or similar) where correctness matters more than ergonomics.<br> Comfortable in polyglot environments.<br> Our stack includes Go, the COBOL core, and a long tail of supporting languages and platforms accumulated over years.<br> Track record of improving the engineering practices around you (testing discipline, deployment hygiene, documentation, onboarding) rather than just shipping features.<br> Experience pairing closely with a more senior engineer and absorbing knowledge from them.<br> Experience building or working with AI-assisted developer tooling in a serious production context: agents, code generation, retrieval over large codebases, or similar.<br> You have opinions, grounded in real use, about where it earns its keep.<br> Nice to have Experience with car rental, fleet, travel, hospitality, or other operationally complex industries.<br> Experience contributing to a platform modernisation, replatforming, or legacy-to-modern migration program.<br> Familiarity with Perl or PostScript.<br> Parts of the surrounding toolchain still touch both; not a blocker at all if you have not used them, but real exposure is a genuine plus.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Aspire Software is looking for a AI Developer to join our team in Lebanon.<br> Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals.<br> By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.<br> About the job: This role sits at the center of that buildout.<br> You’ll ship near-term product features while helping us make the right architectural decisions for what’s coming.<br> We need someone who can execute and see around corners someone who understands both the product experience and the platform mechanics underneath it.<br> Key Responsibilities Build and ship AI features within the Ad Orbit product using our PHP/MySQL/React/Node stack with OpenAI API integration.<br> Extend Astro Core chatbot capabilities new read/write actions, graph generation, analysis outputs.<br> Help improve the external MCP connector schema, authentication, capability surface.<br> Own prompt engineering for product features: design, test, iterate, and document prompts as first-class product artifacts.<br> Build the token metering and usage tracking layer per-feature, per-customer, per-tier.<br> Design and implement guardrails, access controls, and rate limiting across the Astro AI platform layer.<br> Contribute to agent architecture decisions: tool access, memory design, token pool isolation, training data boundaries.<br> Monitor AI feature performance in production latency, cost, output quality, failure modes and drive improvements.<br> Stay current on the AI tooling landscape and bring concrete recommendations to the team.<br> AI Product Development Hands-on experience integrating LLM APIs (OpenAI, Anthropic, or similar) into production applications used by real customers.<br> Prompt engineering fluency: system prompts, few-shot examples, structured outputs, tool/function calling, chain-of-thought patterns.<br> Understanding of token economics: cost per call, context management, model selection tradeoffs across feature types.<br> Experience building quality evaluation and output validation frameworks around AI features.<br> Awareness of AI-specific risks: hallucination, prompt injection, data leakage, output inconsistency.<br> Platform &amp; Architecture Thinking Experience designing or contributing to metered usage systems — API rate limiting, consumption tracking, billing integration.<br> Familiarity with designing MCP (Model Context Protocol) — understanding of how LLM-native integrations differ from traditional REST.<br> Ability to reason about multi-tenant access controls: how AI features should behave differently across customer tiers.<br> Understanding of agent architecture patterns: tool registries, memory types, token pool management, task delegation.<br> Core Stack React and Node: able to build frontend components that surface AI features, including data visualizations.<br> Solid PHP development experience — comfortable extending a production codebase, not just greenfield.<br> MySQL: schema design, query optimization, and data modeling for AI feature state and usage tracking.<br> Typescript: used on the backend of the MCP layerBachelor’s degree in computer science, Information Systems, Engineering or a related field.<br> 3+ years of experience in consulting, digital transformation, enterprise software implementation, or AI-related projects.<br> Strong understanding of Artificial Intelligence, Machine Learning, Generative AI, and automation concepts.<br> Strong presentation, communication, and stakeholder management skills.<br> Experience working directly with customers and senior business stakeholders.<br> Excellent problem-solving and analytical skills.<br></span> </div>

<p><h4>Description</h4> <p>Aspire Software is looking for an AI developer to join our team in Lebanon.</p> <p>Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.</p> <h4>About the job</h4> <p>We are deliberately looking for someone who has not worked in COBOL before. The goal is for you to learn the core directly from our senior engineer, in his way, without competing habits to unlearn, so the knowledge transfers cleanly and intact. Your modern engineering instincts are what you bring; the COBOL you will learn from the person who knows it best.</p> <p>This is also why we are looking for an engineer who works fluently with AI. Once you understand how the core actually behaves, modern AI tooling becomes a force-multiplier for documenting it, reasoning about it, and ultimately migrating it to a modern stack. Deep system knowledge and strong AI capability are the two halves of how this modernisation actually gets done, and we expect this hire to bring the second from day one and build the first here.</p> <p>If the idea of going deep into a complex, valuable, decades-old system, and emerging as one of the few people in the world who genuinely understands it, sounds like your kind of challenge, we want to talk to you.</p> <h4>In your first six months</h4> <ul> <li>Spend a meaningful proportion of your time learning our COBOL core in structured sessions with our senior platform engineer. This is protected time, treated as part of the role, not something you do around other work.</li> <li>Contribute to modern Go services in the stack from week one, on scoped pieces of work that build context without putting you on the critical path.</li> <li>Help us document what you’re learning as you learn it. Fresh eyes are uniquely valuable for surfacing the things long-tenured engineers no longer notice.</li> <li>Pair with the existing team across the stack to understand how Go services, the COBOL core, and the surrounding tooling actually interact in production.</li> <li>Use AI tooling deliberately as part of how you learn: to summarise unfamiliar code, surface questions for your mentor, and turn what you learn into clear documentation faster than fresh eyes could alone.</li> </ul> <h4>Beyond six months</h4> <ul> <li>Take ownership of meaningful work across both the modern and legacy halves of the platform, with growing autonomy.</li> <li>Help repair and modernise core engineering processes: testing, deployment, definition of done, and the way work flows from support into engineering.</li> <li>Contribute to the broader modernisation program: knowledge capture, internal AI tooling, and the eventual decomposition of the platform into smaller, more approachable modules.</li> <li>Lead AI-assisted modernisation of the parts of the core you have come to understand, translating well-understood COBOL into well-tested modern services, with AI as a lever rather than a crutch.</li> <li>Own projects end to end. Work starts from a client-facing design doc that describes data flow and outcomes but not detailed technical specs; from there you own the technical design, the implementation, your own alpha testing, and everything in between.</li> <li>Adapt to the business. Priorities can shift at short notice when urgent client issues arise, and you will be expected to flex with them.</li> <li>Mentor the next Go-into-COBOL hire as the team grows.</li> </ul> <h4>Requirements</h4> <ul> <li>4–7 years of professional software engineering experience, with significant time writing production Go.</li> <li>Comfortable working in a large, complex codebase where the answer is rarely on Stack Overflow. You enjoy reading code more than you fear it.</li> <li>Strong fundamentals: data structures, concurrency, debugging, designing for failure modes. Language familiarity matters less than the habits of mind.</li> <li>Demonstrable, judgment-led fluency with AI in a real engineering workflow. You use AI tools daily to read and understand unfamiliar code, accelerate routine work, and draft documentation, and you can explain clearly where you trust their output and where you don’t. We care less about which tools you use than about the judgement you bring to using them. This is a hard requirement for the role.</li> <li>The interpersonal maturity to learn directly from a highly experienced, exacting mentor. You can build trust, adapt to an established way of working, and absorb knowledge patiently, rather than rushing to impose your own approach before you understand why things are the way they are.</li> <li>A genuine willingness, ideally an active interest, in learning COBOL and working in a heritage system. This is not a stepping stone to a pure greenfield role; the COBOL work is the role. No prior COBOL experience is expected or needed; you will learn it here, from the person who knows it best.</li> <li>Strong written communication. You will be helping us turn tribal knowledge into durable documentation.</li> <li>Comfortable with ambiguity. The codebase has decades of history, the documentation is improving but not yet complete, and you will sometimes need to figure things out by reading and asking rather than by looking them up.</li> <li>Based in a UK/EMEA timezone and able to commit to a consistent daily overlap with California (Pacific) working hours. This is a genuine requirement of the role, not a preference: you will be learning directly from our retiring senior, who is based there, so dependable shared hours are essential. You will also keep reliable overlap with the rest of the UK/EMEA team.</li> <li>Comfortable owning the full development cycle and shifting priorities when needed. You will own projects end to end (see What you’ll do), and you will sometimes need to reprioritise at short notice for urgent client work. These are the two things new hires here most often underestimate.</li> </ul> <h4>Strong indicators</h4> <ul> <li>Experience working with or alongside legacy systems: mainframe, monolithic, or otherwise long-lived. You understand that “legacy” often means “load-bearing” and treat it with appropriate respect.</li> <li>Experience in domains with deep business logic (finance, logistics, telecoms, insurance, ERP, or similar) where correctness matters more than ergonomics.</li> <li>Comfortable in polyglot environments. Our stack includes Go, the COBOL core, and a long tail of supporting languages and platforms accumulated over years.</li> <li>Track record of improving the engineering practices around you (testing discipline, deployment hygiene, documentation, onboarding) rather than just shipping features.</li> <li>Experience pairing closely with a more senior engineer and absorbing knowledge from them.</li> <li>Experience building or working with AI-assisted developer tooling in a serious production context: agents, code generation, retrieval over large codebases, or similar. You have opinions, grounded in real use, about where it earns its keep.</li> </ul> <h4>Nice to have</h4> <ul> <li>Experience with car rental, fleet, travel, hospitality, or other operationally complex industries.</li> <li>Experience contributing to a platform modernisation, replatforming, or legacy-to-modern migration program.</li> <li>Familiarity with Perl or PostScript. Parts of the surrounding toolchain still touch both; not a blocker at all if you have not used them, but real exposure is a genuine plus.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>Aspire Software is looking for an AI developer to join our team in Lebanon.</p> <p>Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.</p> <h4>About the job</h4> <p>This role sits at the center of that buildout. You’ll ship near-term product features while helping us make the right architectural decisions for what’s coming. We need someone who can execute and see around corners, someone who understands both the product experience and the platform mechanics underneath it.</p> <h4>Key responsibilities</h4> <ul> <li>Build and ship AI features within the Ad Orbit product using our PHP/MySQL/React/Node stack with OpenAI API integration.</li> <li>Extend Astro Core chatbot capabilities with new read/write actions, graph generation, and analysis outputs.</li> <li>Help improve the external MCP connector schema, authentication, and capability surface.</li> <li>Own prompt engineering for product features: design, test, iterate, and document prompts as first-class product artifacts.</li> <li>Build the token metering and usage tracking layer per feature, per customer, per tier.</li> <li>Design and implement guardrails, access controls, and rate limiting across the Astro AI platform layer.</li> <li>Contribute to agent architecture decisions: tool access, memory design, token pool isolation, training data boundaries.</li> <li>Monitor AI feature performance in production latency, cost, output quality, failure modes and drive improvements.</li> <li>Stay current on the AI tooling landscape and bring concrete recommendations to the team.</li> </ul> <h4>Requirements</h4> <h4>AI product development</h4> <ul> <li>Hands-on experience integrating LLM APIs (OpenAI, Anthropic, or similar) into production applications used by real customers.</li> <li>Prompt engineering fluency: system prompts, few-shot examples, structured outputs, tool/function calling, chain-of-thought patterns.</li> <li>Understanding of token economics: cost per call, context management, model selection tradeoffs across feature types.</li> <li>Experience building quality evaluation and output validation frameworks around AI features.</li> <li>Awareness of AI-specific risks: hallucination, prompt injection, data leakage, output inconsistency.</li> </ul> <h4>Platform & architecture thinking</h4> <ul> <li>Experience designing or contributing to metered usage systems — API rate limiting, consumption tracking, billing integration.</li> <li>Familiarity with designing MCP (Model Context Protocol) — understanding of how LLM-native integrations differ from traditional REST.</li> <li>Ability to reason about multi-tenant access controls: how AI features should behave differently across customer tiers.</li> <li>Understanding of agent architecture patterns: tool registries, memory types, token pool management, task delegation.</li> </ul> <h4>Core stack</h4> <ul> <li>React and Node: able to build frontend components that surface AI features, including data visualizations.</li> <li>Solid PHP development experience — comfortable extending a production codebase, not just greenfield.</li> <li>MySQL: schema design, query optimization, and data modeling for AI feature state and usage tracking.</li> <li>Typescript: used on the backend of the MCP layer.</li> </ul> <p>Bachelor’s degree in computer science, information systems, engineering or a related field.</p> <p>3+ years of experience in consulting, digital transformation, enterprise software implementation, or AI-related projects.</p> <p>Strong understanding of artificial intelligence, machine learning, generative AI, and automation concepts.</p> <p>Strong presentation, communication, and stakeholder management skills.</p> <p>Experience working directly with customers and senior business stakeholders.</p> <p>Excellent problem-solving and analytical skills.</p></p><p></p>

<p><h4>Description</h4> <p>Aspire Software is looking for an AI developer to join our team in Lebanon.</p> <p>Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.</p> <h4>About the job</h4> <p>We are deliberately looking for someone who has not worked in COBOL before. The goal is for you to learn the core directly from our senior engineer, in his way, without competing habits to unlearn, so the knowledge transfers cleanly and intact. Your modern engineering instincts are what you bring; the COBOL you will learn from the person who knows it best.</p> <p>This is also why we are looking for an engineer who works fluently with AI. Once you understand how the core actually behaves, modern AI tooling becomes a force-multiplier for documenting it, reasoning about it, and ultimately migrating it to a modern stack. Deep system knowledge and strong AI capability are the two halves of how this modernisation actually gets done, and we expect this hire to bring the second from day one and build the first here.</p> <p>If the idea of going deep into a complex, valuable, decades-old system, and emerging as one of the few people in the world who genuinely understands it, sounds like your kind of challenge, we want to talk to you.</p> <h4>In your first six months</h4> <ul> <li>Spend a meaningful proportion of your time learning our COBOL core in structured sessions with our senior platform engineer. This is protected time, treated as part of the role, not something you do around other work.</li> <li>Contribute to modern Go services in the stack from week one, on scoped pieces of work that build context without putting you on the critical path.</li> <li>Help us document what you’re learning as you learn it. Fresh eyes are uniquely valuable for surfacing the things long-tenured engineers no longer notice.</li> <li>Pair with the existing team across the stack to understand how Go services, the COBOL core, and the surrounding tooling actually interact in production.</li> <li>Use AI tooling deliberately as part of how you learn: to summarise unfamiliar code, surface questions for your mentor, and turn what you learn into clear documentation faster than fresh eyes could alone.</li> </ul> <h4>Beyond six months</h4> <ul> <li>Take ownership of meaningful work across both the modern and legacy halves of the platform, with growing autonomy.</li> <li>Help repair and modernise core engineering processes: testing, deployment, definition of done, and the way work flows from support into engineering.</li> <li>Contribute to the broader modernisation program: knowledge capture, internal AI tooling, and the eventual decomposition of the platform into smaller, more approachable modules.</li> <li>Lead AI-assisted modernisation of the parts of the core you have come to understand, translating well-understood COBOL into well-tested modern services, with AI as a lever rather than a crutch.</li> <li>Own projects end to end. Work starts from a client-facing design doc that describes data flow and outcomes but not detailed technical specs; from there you own the technical design, the implementation, your own alpha testing, and everything in between.</li> <li>Adapt to the business. Priorities can shift at short notice when urgent client issues arise, and you will be expected to flex with them.</li> <li>Mentor the next Go-into-COBOL hire as the team grows.</li> </ul> <h4>Requirements</h4> <ul> <li>4–7 years of professional software engineering experience, with significant time writing production Go.</li> <li>Comfortable working in a large, complex codebase where the answer is rarely on Stack Overflow. You enjoy reading code more than you fear it.</li> <li>Strong fundamentals: data structures, concurrency, debugging, designing for failure modes. Language familiarity matters less than the habits of mind.</li> <li>Demonstrable, judgment-led fluency with AI in a real engineering workflow. You use AI tools daily to read and understand unfamiliar code, accelerate routine work, and draft documentation, and you can explain clearly where you trust their output and where you don’t. We care less about which tools you use than about the judgement you bring to using them. This is a hard requirement for the role.</li> <li>The interpersonal maturity to learn directly from a highly experienced, exacting mentor. You can build trust, adapt to an established way of working, and absorb knowledge patiently, rather than rushing to impose your own approach before you understand why things are the way they are.</li> <li>A genuine willingness, ideally an active interest, in learning COBOL and working in a heritage system. This is not a stepping stone to a pure greenfield role; the COBOL work is the role. No prior COBOL experience is expected or needed; you will learn it here, from the person who knows it best.</li> <li>Strong written communication. You will be helping us turn tribal knowledge into durable documentation.</li> <li>Comfortable with ambiguity. The codebase has decades of history, the documentation is improving but not yet complete, and you will sometimes need to figure things out by reading and asking rather than by looking them up.</li> <li>Based in a UK/EMEA timezone and able to commit to a consistent daily overlap with California (Pacific) working hours. This is a genuine requirement of the role, not a preference: you will be learning directly from our retiring senior, who is based there, so dependable shared hours are essential. You will also keep reliable overlap with the rest of the UK/EMEA team.</li> <li>Comfortable owning the full development cycle and shifting priorities when needed. You will own projects end to end (see What you’ll do), and you will sometimes need to reprioritise at short notice for urgent client work. These are the two things new hires here most often underestimate.</li> </ul> <h4>Strong indicators</h4> <ul> <li>Experience working with or alongside legacy systems: mainframe, monolithic, or otherwise long-lived. You understand that “legacy” often means “load-bearing” and treat it with appropriate respect.</li> <li>Experience in domains with deep business logic (finance, logistics, telecoms, insurance, ERP, or similar) where correctness matters more than ergonomics.</li> <li>Comfortable in polyglot environments. Our stack includes Go, the COBOL core, and a long tail of supporting languages and platforms accumulated over years.</li> <li>Track record of improving the engineering practices around you (testing discipline, deployment hygiene, documentation, onboarding) rather than just shipping features.</li> <li>Experience pairing closely with a more senior engineer and absorbing knowledge from them.</li> <li>Experience building or working with AI-assisted developer tooling in a serious production context: agents, code generation, retrieval over large codebases, or similar. You have opinions, grounded in real use, about where it earns its keep.</li> </ul> <h4>Nice to have</h4> <ul> <li>Experience with car rental, fleet, travel, hospitality, or other operationally complex industries.</li> <li>Experience contributing to a platform modernisation, replatforming, or legacy-to-modern migration program.</li> <li>Familiarity with Perl or PostScript. Parts of the surrounding toolchain still touch both; not a blocker at all if you have not used them, but real exposure is a genuine plus.</li> </ul></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Aspire Software is looking for a AI Developer to join our team in Lebanon.<br> Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals.<br> By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.<br> About the job: We are deliberately looking for someone who has not worked in COBOL before.<br> The goal is for you to learn the core directly from our senior engineer, in his way, without competing habits to unlearn, so the knowledge transfers cleanly and intact.<br> Your modern engineering instincts are what you bring; the COBOL you will learn from the person who knows it best.<br> This is also why we are looking for an engineer who works fluently with AI.<br> Once you understand how the core actually behaves, modern AI tooling becomes a force-multiplier for documenting it, reasoning about it, and ultimately migrating it to a modern stack.<br> Deep system knowledge and strong AI capability are the two halves of how this modernisation actually gets done, and we expect this hire to bring the second from day one and build the first here.<br> If the idea of going deep into a complex, valuable, decades-old system, and emerging as one of the few people in the world who genuinely understands it, sounds like your kind of challenge, we want to talk to you.<br> In your first six months Spend a meaningful proportion of your time learning our COBOL core in structured sessions with our senior platform engineer.<br> This is protected time, treated as part of the role, not something you do around other work.<br> Contribute to modern Go services in the stack from week one, on scoped pieces of work that build context without putting you on the critical path.<br> Help us document what you’re learning as you learn it.<br> Fresh eyes are uniquely valuable for surfacing the things long-tenured engineers no longer notice.<br> Pair with the existing team across the stack to understand how Go services, the COBOL core, and the surrounding tooling actually interact in production.<br> Use AI tooling deliberately as part of how you learn: to summarise unfamiliar code, surface questions for your mentor, and turn what you learn into clear documentation faster than fresh eyes could alone.<br> Beyond six months Take ownership of meaningful work across both the modern and legacy halves of the platform, with growing autonomy.<br> Help repair and modernise core engineering processes: testing, deployment, definition of done, and the way work flows from support into engineering.<br> Contribute to the broader modernisation program: knowledge capture, internal AI tooling, and the eventual decomposition of the platform into smaller, more approachable modules.<br> Lead AI-assisted modernisation of the parts of the core you have come to understand, translating well-understood COBOL into well-tested modern services, with AI as a lever rather than a crutch.<br> Own projects end to end.<br> Work starts from a client-facing Design Doc that describes data flow and outcomes but not detailed technical specs; from there you own the technical design, the implementation, your own alpha testing, and everything in between.<br> Adapt to the business.<br> Priorities can shift at short notice when urgent client issues arise, and you will be expected to flex with them.<br> Mentor the next Go-into-COBOL hire as the team grows.<br> 4–7 years of professional software engineering experience, with significant time writing production Go.<br> Comfortable working in a large, complex codebase where the answer is rarely on Stack Overflow.<br> You enjoy reading code more than you fear it.<br> Strong fundamentals: data structures, concurrency, debugging, designing for failure modes.<br> Language familiarity matters less than the habits of mind.<br> Demonstrable, judgment-led fluency with AI in a real engineering workflow.<br> You use AI tools daily to read and understand unfamiliar code, accelerate routine work, and draft documentation, and you can explain clearly where you trust their output and where you don’t.<br> We care less about which tools you use than about the judgement you bring to using them.<br> This is a hard requirement for the role.<br> The interpersonal maturity to learn directly from a highly experienced, exacting mentor.<br> You can build trust, adapt to an established way of working, and absorb knowledge patiently, rather than rushing to impose your own approach before you understand why things are the way they are.<br> A genuine willingness, ideally an active interest, in learning COBOL and working in a heritage system.<br> This is not a stepping stone to a pure greenfield role; the COBOL work is the role.<br> No prior COBOL experience is expected or needed; you will learn it here, from the person who knows it best.<br> Strong written communication.<br> You will be helping us turn tribal knowledge into durable documentation.<br> Comfortable with ambiguity.<br> The codebase has decades of history, the documentation is improving but not yet complete, and you will sometimes need to figure things out by reading and asking rather than by looking them up.<br> Based in a UK/EMEA timezone and able to commit to a consistent daily overlap with California (Pacific) working hours.<br> This is a genuine requirement of the role, not a preference: you will be learning directly from our retiring senior, who is based there, so dependable shared hours are essential.<br> You will also keep reliable overlap with the rest of the UK/EMEA team.<br> Comfortable owning the full development cycle and shifting priorities when needed.<br> You will own projects end to end (see What you’ll do), and you will sometimes need to reprioritise at short notice for urgent client work.<br> These are the two things new hires here most often underestimate.<br> Strong indicators Experience working with or alongside legacy systems: mainframe, monolithic, or otherwise long-lived.<br> You understand that “legacy” often means “load-bearing” and treat it with appropriate respect.<br> Experience in domains with deep business logic (finance, logistics, telecoms, insurance, ERP, or similar) where correctness matters more than ergonomics.<br> Comfortable in polyglot environments.<br> Our stack includes Go, the COBOL core, and a long tail of supporting languages and platforms accumulated over years.<br> Track record of improving the engineering practices around you (testing discipline, deployment hygiene, documentation, onboarding) rather than just shipping features.<br> Experience pairing closely with a more senior engineer and absorbing knowledge from them.<br> Experience building or working with AI-assisted developer tooling in a serious production context: agents, code generation, retrieval over large codebases, or similar.<br> You have opinions, grounded in real use, about where it earns its keep.<br> Nice to have Experience with car rental, fleet, travel, hospitality, or other operationally complex industries.<br> Experience contributing to a platform modernisation, replatforming, or legacy-to-modern migration program.<br> Familiarity with Perl or PostScript.<br> Parts of the surrounding toolchain still touch both; not a blocker at all if you have not used them, but real exposure is a genuine plus.<br></span> </div>

<p><h4>Description</h4> <p>Aspire Software is looking for an AI developer to join our team in Lebanon.</p> <p>Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.</p> <h4>About the job</h4> <p>This role sits at the center of that buildout. You’ll ship near-term product features while helping us make the right architectural decisions for what’s coming. We need someone who can execute and see around corners, someone who understands both the product experience and the platform mechanics underneath it.</p> <h4>Key responsibilities</h4> <ul> <li>Build and ship AI features within the Ad Orbit product using our PHP/MySQL/React/Node stack with OpenAI API integration.</li> <li>Extend Astro Core chatbot capabilities with new read/write actions, graph generation, and analysis outputs.</li> <li>Help improve the external MCP connector schema, authentication, and capability surface.</li> <li>Own prompt engineering for product features: design, test, iterate, and document prompts as first-class product artifacts.</li> <li>Build the token metering and usage tracking layer per feature, per customer, per tier.</li> <li>Design and implement guardrails, access controls, and rate limiting across the Astro AI platform layer.</li> <li>Contribute to agent architecture decisions: tool access, memory design, token pool isolation, training data boundaries.</li> <li>Monitor AI feature performance in production latency, cost, output quality, failure modes and drive improvements.</li> <li>Stay current on the AI tooling landscape and bring concrete recommendations to the team.</li> </ul> <h4>Requirements</h4> <h4>AI product development</h4> <ul> <li>Hands-on experience integrating LLM APIs (OpenAI, Anthropic, or similar) into production applications used by real customers.</li> <li>Prompt engineering fluency: system prompts, few-shot examples, structured outputs, tool/function calling, chain-of-thought patterns.</li> <li>Understanding of token economics: cost per call, context management, model selection tradeoffs across feature types.</li> <li>Experience building quality evaluation and output validation frameworks around AI features.</li> <li>Awareness of AI-specific risks: hallucination, prompt injection, data leakage, output inconsistency.</li> </ul> <h4>Platform & architecture thinking</h4> <ul> <li>Experience designing or contributing to metered usage systems — API rate limiting, consumption tracking, billing integration.</li> <li>Familiarity with designing MCP (Model Context Protocol) — understanding of how LLM-native integrations differ from traditional REST.</li> <li>Ability to reason about multi-tenant access controls: how AI features should behave differently across customer tiers.</li> <li>Understanding of agent architecture patterns: tool registries, memory types, token pool management, task delegation.</li> </ul> <h4>Core stack</h4> <ul> <li>React and Node: able to build frontend components that surface AI features, including data visualizations.</li> <li>Solid PHP development experience — comfortable extending a production codebase, not just greenfield.</li> <li>MySQL: schema design, query optimization, and data modeling for AI feature state and usage tracking.</li> <li>Typescript: used on the backend of the MCP layer.</li> </ul> <p>Bachelor’s degree in computer science, information systems, engineering or a related field.</p> <p>3+ years of experience in consulting, digital transformation, enterprise software implementation, or AI-related projects.</p> <p>Strong understanding of artificial intelligence, machine learning, generative AI, and automation concepts.</p> <p>Strong presentation, communication, and stakeholder management skills.</p> <p>Experience working directly with customers and senior business stakeholders.</p> <p>Excellent problem-solving and analytical skills.</p></p><p></p>

We are currently recruiting for a Full-Stack Developer to join a British company on a fully remote basis. <br> <br>The ideal candidate should have solid hands-on experience with: <br> <br>Python <br>Django <br>Django REST Framework (DRF) <br>PostgreSQL <br>Redis <br>JavaScript <br>jQuery

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>SBC is looking for a Flutter Developer to join our team in an on-site, full-time position located in adonis. The Flutter Developer will be responsible for building high-performance, cross-platform mobile applications. Responsibilities include collaborating with the design and development teams to implement application features, ensuring optimal application performance, debugging and resolving technical issues, and staying updated on the latest mobile development trends.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Proficiency in Flutter and Dart programming language</li><li>Experience with mobile development for Android and iOS platforms</li><li>Proficient in debugging, performance optimization, and code versioning tools such as Git</li><li>Knowledge of software development lifecycle processes, including Agile methodologies</li><li>Problem-solving skills and attention to detail, with a focus on delivering high-quality, user-friendly applications</li><li>Ability to work collaboratively in a team-oriented environment</li></ul><p></p></section>

<p>We are looking for a Senior Full Stack Developer to join our dynamic team with minimum of 5 years experience. A good understanding of the overall AWS environment and core services.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Fluent in English </li><li>Familiar with the agile methodology </li><li>Knowledge of git, Teams and Jira </li><li>Knowledge of functional and object-oriented programming</li><li>Ability to write well-documented, clean code </li><li>Rock solid at working with third-party dependencies and debugging dependency conflicts</li></ul>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Job Overview Associate Data Integration Engineer is responsible for designing, developing, and maintaining cloud-based integration solutions using Microsoft Azure services. This role focuses on building scalable integration architectures, implementing API-driven workflows, orchestrating system communication, and ensuring high availability, performance, and security across integration platforms. The engineer will work closely with application teams, data engineers, and architects to deliver enterprise-grade integration solutions. Key Responsibilities 1. Solution Design Design and implement integration solutions using Azure services such as: Azure Logic Apps (Standard &amp; Consumption) Azure Service Bus (Queues, Topics, DLQ) Azure API Management Event Grid / Event Hub Azure Functions Translate functional requirements into scalable integration architectures. Build robust retry, error-handling, dead-lettering, and monitoring patterns. 2. Development &amp; Implementation Develop integration workflows using Logic Apps (stateful and stateless). Implement synchronous and asynchronous messaging patterns. Build APIs and connectors for internal/external system integrations. Implement CI/CD pipelines for integration components (Azure DevOps/GitHub). Build reusable components, templates, and enterprise integration patterns. 3. Service Bus &amp; Messaging Configure queues, topics, subscriptions, and rules. Implement DLQ handling, repair &amp; replay, and quarantine logic. Ensure message security, idempotency, and guaranteed delivery. 4. API Management Publish, secure, and monitor APIs using Azure API Management. Implement policies (rate limiting, caching, transformation, authentication). Manage API lifecycle and developer onboarding. 5. Monitoring &amp; Support Implement alerting and observability using: Application Insights Log Analytics Azure Monitor Troubleshoot integration failures, performance issues, and message dead-lettering. Support production workloads, ensure platform reliability, and optimize cost. 6. Security &amp; Governance Apply best practices for identity and access management (Azure AD). Implement security standards: Managed Identity, OAuth2, RBAC, Key Vault. Ensure compliance with company governance and Azure landing zone policies.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>We are looking for entrepreneurs, techies, passionate, eager to learn, humble, with a positive attitude and a high level of integrity People. Flexible and willing to take challenges, work and live in coffee-producing countries, People who want to build expertise and a career in the coffee business and are ready to go the extra mile.</p><p><strong>Required Skills &amp; Qualifications</strong></p><ul><li>Bachelor s degree in Computer Science, Software Engineering, Information Systems, or a related field.</li><li>Basic understanding of data integration concepts (ETL/ELT, APIs, messaging).</li><li>Experience or familiarity with programming languages such as Python, Java, C#, or SQL</li><li>Knowledge of relational databases (PostgreSQL, MySQL, SQL Server) and basic NoSQL concepts, CosmosDb.</li><li>Understanding of data formats such as JSON, XML, CSV, and Parquet.</li><li>Familiarity with REST APIs and data exchange mechanisms.</li><li>Basic exposure to cloud platforms (Azure) is an advantage.</li></ul><p></p></section>