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<p>We're looking for a DevOps Engineer to build the infrastructure foundation that keeps our AI-powered product fast, reliable, secure, and cost-efficient. You'll set up the cloud, deployment, and monitoring systems that let a small team ship confidently and scale smoothly through the pilot and beyond.</p><p>What You'll Do</p><ul><li>Design, provision, and manage cloud infrastructure (AWS, GCP, or Azure)</li><li>Build and maintain CI/CD pipelines for fast, safe, automated deployments</li><li>Implement infrastructure-as-code (Terraform, Pulumi, or similar) for reproducible environments</li><li>Containerize and orchestrate services (Docker, Kubernetes) as the system grows</li><li>Set up observability: monitoring, logging, alerting, and tracing across the stack</li><li>Manage and optimize the cost, latency, and reliability of LLM and AI workloads</li><li>Own security, secrets management, and access controls across environments</li><li>Establish backup, disaster-recovery, and incident-response practices for the pilot</li></ul><p><strong>Desired Candidate Profile</strong></p><p>Qualifications</p><ul><li>4+ years of DevOps, SRE, or infrastructure engineering experience</li><li>Strong hands-on experience with at least one major cloud provider (AWS/GCP/Azure)</li><li>Proficiency with infrastructure-as-code tools (Terraform, Pulumi, CloudFormation)</li><li>Experience with containerization and orchestration (Docker, Kubernetes)</li><li>Solid CI/CD experience (GitHub Actions, GitLab CI, CircleCI, or similar)</li><li>Strong scripting skills (Bash, Python, or Go)</li><li>Experience implementing monitoring and observability tooling (Prometheus, Grafana, Datadog, etc.)</li><li>Security-first mindset and experience with secrets and access management</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Aspire Software is looking for a Data Scientist 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 looking for a Senior Machine Learning Engineer who wants to own that evolution.<br> This is not a research-only role.<br> You will frame problems, explore data, design models, build evaluation systems, investigate real customer issues, and ship production services.<br> Your work will influence real pricing decisions and measurable hotel revenue not just dashboards or internal prototypes.<br> What You'll Work On -Pricing intelligence: Advance our pricing engine using probabilistic forecasting, elasticity estimation, contextual bandits, reinforcement learning, and other appropriate optimization methods.<br> Demand forecasting: Improve booking-curve and final-occupancy forecasts, including uncertainty estimates that can inform safer pricing decisions.<br> Safe experimentation: Build historical replay, simulation, backtesting, shadow deployment, and controlled rollout capabilities to measure revenue impact before models affect customers.<br> Production ML: Turn models into reliable, tested, and observable Python services, owning the path from experimentation through deployment, monitoring, and rollback.<br> Problem-solving and customer investigations: Debug unexpected pricing, data, integration, and production behavior.<br> Trace customer-reported issues to their root cause and turn incidents into lasting improvements.<br> Data and intelligent experiences: Strengthen the reservation, occupancy, competitor-rate, PMS, and event-data pipelines behind our decisions, while contributing to AI-powered explanations and revenue-manager tools.<br> Tech Stack Python 3.<br>11, FastAPI, Pydantic, SQLAlchemy 2.<br>0, and Alembic PostgreSQL/Supabase and Redis Pandas, Polars, NumPy, and statsmodels OpenAI, Anthropic, LangChain, and LangGraph PredictHQ and multiple hotel PMS and market-data integrations AWS ECS/Fargate, SQS, EventBridge, S3, and CloudWatch Docker, GitHub Actions, Prometheus, and PostHog Experience taking machine-learning systems from problem definition through production deployment and monitoring.<br> Strong Python and SQL skills, including experience building modular, typed, tested production software—not only exploratory notebooks.<br> A solid foundation in statistics, experimentation, forecasting, and model evaluation.<br> Experience working with time-dependent, noisy, incomplete, or imperfect real-world data.<br> Strong analytical problem-solving skills and a methodical approach to ambiguous technical issues.<br> Proven ability to debug production systems, including data pipelines, APIs, asynchronous jobs, integrations, and model behavior.<br> Experience investigating customer-reported issues, identifying root causes, and communicating findings clearly to technical and non-technical stakeholders.<br> A habit of improving systems after incidents through better tests, monitoring, documentation, safeguards, or architecture.<br> The judgment to balance model sophistication with reliability, explainability, and business value.<br> Comfort working with APIs, relational databases, containers, cloud infrastructure, and CI/CD.<br> Clear communication skills and an ability to work closely with engineers, product leaders, revenue-management experts, and customer-facing teams.<br> A high level of ownership: you can turn an ambiguous business or customer problem into a practical, measurable plan and carry it through to completion.<br> Years of experience are a useful signal, but not the deciding factor.<br> We care more about what you have built, how you reason, and how you respond when models and systems meet the real world.<br> Nice to Have You do not need everything on this list: Contextual bandits, reinforcement learning, recommendation systems, bidding, or other sequential decision systems.<br> Probabilistic demand forecasting or hierarchical Bayesian modeling.<br> Pricing, revenue management, marketplaces, travel, hospitality, advertising, or e-commerce.<br> Causal inference and off-policy evaluation.<br> Model drift, data-quality monitoring, and experiment-tracking systems.<br> Multi-tenant SaaS or event-driven architectures.<br> Debugging distributed systems and third-party integrations in production.<br> LLM applications and agentic workflows.<br> AWS services such as ECS, SQS, EventBridge, S3, and CloudWatch.<br> Hospitality experience is welcome, but not required.<br> We will help you learn the domain.<br> What We Value Speed with quality — Ship fast, but ship code and models a staff engineer would approve AI-native workflow — You don't just know about AI tools, you use them daily to write, debug, and architect Ownership — Pick up a problem and drive it to completion without hand-holding Simplicity — Elegant solutions over over-engineered ones.<br> Minimal code that does the job Curiosity — Our domain (hotel revenue optimization) has real depth.<br> You're excited to learn it</span> </div>

<p>About the Role We're looking for a Full-Stack Engineer to build our web application end-to-end and bring the MVP to life. You'll own the user-facing product and the backend that supports it, working closely with the AI Engineer to weave intelligent, real-time AI interactions into a smooth, reliable experience. What You'll Do Build and ship the web application across frontend and backend, from UI components to APIs and data models Design and implement a responsive, real-time conversational interface (React, WebSockets/SSE) Develop backend services: authentication, session management, data persistence, and third-party integrations Integrate AI and multi-agent services into the product in partnership with the AI Engineer Design and maintain databases and API contracts that scale with product complexity Own performance, reliability, and security across the stack Translate product and design requirements into well-tested, maintainable features Move fast in an early-stage environment, balancing speed with quality</p><p><strong>Desired Candidate Profile</strong></p><p>Qualifications 4+ years of full-stack software engineering experience Strong proficiency in TypeScript/JavaScript and a modern frontend framework (React preferred) Solid backend experience (Node.js, Python, or similar) building and consuming APIs Experience designing relational and/or NoSQL data models (PostgreSQL, MongoDB, etc.) Familiarity with real-time communication patterns (WebSockets, SSE) and streaming UIs Understanding of authentication, authorization, and secure data handling Experience integrating third-party APIs, ideally including LLM or AI services Comfort owning features end-to-end with minimal oversight</p>

<p>About the Role We're looking for a Full-Stack Engineer to build our web application end-to-end and bring the MVP to life. You'll own the user-facing product and the backend that supports it, working closely with the AI Engineer to weave intelligent, real-time AI interactions into a smooth, reliable experience.</p><p>What You'll Do</p><ul><li>Build and ship the web application across frontend and backend, from UI components to APIs and data models</li><li>Design and implement a responsive, real-time conversational interface (React, WebSockets/SSE)</li><li>Develop backend services: authentication, session management, data persistence, and third-party integrations</li><li>Integrate AI and multi-agent services into the product in partnership with the AI Engineer</li><li>Design and maintain databases and API contracts that scale with product complexity</li><li>Own performance, reliability, and security across the stack</li><li>Translate product and design requirements into well-tested, maintainable features</li><li>Move fast in an early-stage environment, balancing speed with quality</li></ul><p><strong>Desired Candidate Profile</strong></p><p><b>Qualifications</b></p><ul><li>4+ years of full-stack software engineering experience</li><li>Strong proficiency in TypeScript/JavaScript and a modern frontend framework (React preferred)</li><li>Solid backend experience (Node.js, Python, or similar) building and consuming APIs</li><li>Experience designing relational and/or NoSQL data models (PostgreSQL, MongoDB, etc.)</li><li>Familiarity with real-time communication patterns (WebSockets, SSE) and streaming UIs</li><li>Understanding of authentication, authorization, and secure data handling</li><li>Experience integrating third-party APIs, ideally including LLM or AI services</li><li>Comfort owning features end-to-end with minimal oversight</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Description<br><p><strong>About the Role</strong></p><br><p>We're looking for a DevOps Engineer to build the infrastructure foundation that keeps our AI-powered product fast, reliable, secure, and cost-efficient. You'll set up the cloud, deployment, and monitoring systems that let a small team ship confidently and scale smoothly through the pilot and beyond.</p><br><p><strong>What You'll Do</strong></p><br><ul><li>Design, provision, and manage cloud infrastructure (AWS, GCP, or Azure)</li><li>Build and maintain CI/CD pipelines for fast, safe, automated deployments</li><li>Implement infrastructure-as-code (Terraform, Pulumi, or similar) for reproducible environments</li><li>Containerize and orchestrate services (Docker, Kubernetes) as the system grows</li><li>Set up observability: monitoring, logging, alerting, and tracing across the stack</li><li>Manage and optimize the cost, latency, and reliability of LLM and AI workloads</li><li>Own security, secrets management, and access controls across environments</li><li>Establish backup, disaster-recovery, and incident-response practices for the pilot</li></ul><br>Qualifications<br><ul><li>4+ years of DevOps, SRE, or infrastructure engineering experience</li><li>Strong hands-on experience with at least one major cloud provider (AWS/GCP/Azure)</li><li>Proficiency with infrastructure-as-code tools (Terraform, Pulumi, CloudFormation)</li><li>Experience with containerization and orchestration (Docker, Kubernetes)</li><li>Solid CI/CD experience (GitHub Actions, GitLab CI, CircleCI, or similar)</li><li>Strong scripting skills (Bash, Python, or Go)</li><li>Experience implementing monitoring and observability tooling (Prometheus, Grafana, Datadog, etc.)</li><li>Security-first mindset and experience with secrets and access management</li></ul><br>Additional Information<br><ul><li>Experience managing infrastructure for AI/ML or LLM-heavy workloads</li><li>Familiarity with cost optimization for high-throughput API usage</li><li>Experience with GPU infrastructure or inference serving</li><li>Early-stage experience standing up infrastructure from scratch</li></ul><br><br> </div>

<p>About the Role We're looking for an AI Engineer to design, build, and scale the systems that power our AI-driven product. You'll work at the intersection of large language models, multi-agent systems, and production software, turning cutting-edge AI capabilities into reliable, user-facing experiences.</p><p>What You'll Do</p><ul><li>Design and implement LLM-powered pipelines, including prompt engineering, context management, and response synthesis</li><li>Build and optimize multi-agent orchestration systems where AI components interact, reason, and produce coherent outputs</li><li>Develop and maintain integrations with foundation model APIs (Anthropic, OpenAI, and others), managing latency, cost, and reliability at scale</li><li>Implement retrieval-augmented generation (RAG) and memory systems for persistent, context-aware behavior</li><li>Partner with the Evaluation/QA Engineer to build frameworks that measure output quality, coherence, and factual grounding</li><li>Collaborate with product and design to translate workflows into robust technical experiences</li><li>Ship production features across the stack, from the model layer to the application</li><li>Monitor, debug, and improve system performance, token efficiency, and guardrails</li></ul><p><strong>Desired Candidate Profile</strong></p><p>Qualifications</p><ul><li>3+ years of software engineering experience, with hands-on work building LLM-powered applications</li><li>Strong proficiency in Python and/or TypeScript/JavaScript</li><li>Experience with LLM APIs, prompt engineering, and agentic frameworks (e.g., LangChain, LlamaIndex, or custom orchestration)</li><li>Familiarity with vector databases and RAG architectures (Pinecone, Weaviate, pgvector, etc.)</li><li>Understanding of multi-agent systems, tool use, and function calling</li><li>Experience designing evaluation and testing strategies for non-deterministic AI outputs</li><li>Solid grasp of API design, async processing, and scalable backend architecture</li><li>Comfort working in a fast-moving, ambiguous, early-stage environment</li></ul>

<p>We're looking for an AI Engineer to design, build, and scale the systems that power our AI-driven product. You'll work at the intersection of large language models, multi-agent systems, and production software, turning cutting-edge AI capabilities into reliable, user-facing experiences.</p><p><b>What You'll Do</b></p><ul><li>Design and implement LLM-powered pipelines, including prompt engineering, context management, and response synthesis</li><li>Build and optimize multi-agent orchestration systems where AI components interact, reason, and produce coherent outputs</li><li>Develop and maintain integrations with foundation model APIs (Anthropic, OpenAI, and others), managing latency, cost, and reliability at scale</li><li>Implement retrieval-augmented generation (RAG) and memory systems for persistent, context-aware behavior</li><li>Partner with the Evaluation/QA Engineer to build frameworks that measure output quality, coherence, and factual grounding</li><li>Collaborate with product and design to translate workflows into robust technical experiences</li><li>Ship production features across the stack, from the model layer to the application</li><li>Monitor, debug, and improve system performance, token efficiency, and guardrails</li></ul><p><strong>Desired Candidate Profile</strong></p><p>3+ years of software engineering experience, with hands-on work building LLM-powered applications</p><p>Strong proficiency in Python and/or TypeScript/JavaScript</p><p>Experience with LLM APIs, prompt engineering, and agentic frameworks (e.g., LangChain, LlamaIndex, or custom orchestration)</p><p>Familiarity with vector databases and RAG architectures (Pinecone, Weaviate, pgvector, etc.)</p><p>Understanding of multi-agent systems, tool use, and function calling</p><p>Experience designing evaluation and testing strategies for non-deterministic AI outputs</p><p>Solid grasp of API design, async processing, and scalable backend architecture</p><p>Comfort working in a fast-moving, ambiguous, early-stage environment</p>

<p>Aspire Software is looking for a Senior Software Developer to join our team in Lebanon.</p><p><br></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><p><br></p><p><b>About the Role</b></p><p><br></p><p>We’re looking for a mid-to-senior ML/AI Engineer to join the team building Qmatic’s next generation of AI-driven products.</p><p><br></p><p>This is a hands-on machine learning and AI engineering role, not a general fullstack position. You’ll design, train, evaluate, and ship the models and AI capabilities behind our products: forecasting and recommendation models on our data platform, and LLM-based features such as retrieval and agentic, self-service flows. You’ll work close to the product and the data, and close to the people who use and sell it: developers, product managers, sales teams, partners, and sometimes the end customer directly.</p><p><br></p><p>This role sits at the intersection of engineering and business. You’ll join demos, translate technical trade-offs and model results into plain language for non-technical stakeholders, and bring feedback from the field back into how we build. In practice that spans the models behind forecasting and recommendations, the data and retrieval work behind our chat product’s knowledge base, and the agentic, self-service capabilities we’re building next, letting customers complete a task end-to-end rather than just getting an answer.</p><p><br></p><p><b>Responsibilities</b></p><p><br></p><p>Design, train, evaluate, and ship machine learning models, such as forecasting, classification, and recommendation, that power predictive and recommendation features across our products</p><p>Choose approaches on evidence: compare candidate models against baselines, run experiments, and document why a choice was made, with clear evaluation criteria and monitoring once a model is in production</p><p>Integrate AI/LLM capabilities into product workflows — chat, automation, personalization, and agentic flows that complete tasks end-to-end (booking, rescheduling, account changes) — as we move further into self-service</p><p>Build, maintain, and debug the data and feature pipelines that feed our models and AI products — ingestion, transformation, and data quality checks across a medallion (bronze/silver/gold/platinum) architecture</p><p>Join client and stakeholder conversations — demos, product launches, requirements discussions, troubleshooting calls — and translate customer and partner feedback into concrete product and engineering decisions, working closely with Product Management</p><p>Write clean, maintainable, well-tested code, and help define architecture, patterns, and technical direction for new products as they take shape, rather than inheriting one fixed stack</p><p>Support and troubleshoot production issues, including model and data problems and client-facing incidents when needed</p><p><br></p><p><strong>Desired Candidate Profile</strong></p><p><br></p><p><b>Requirements</b></p><p><br></p><p>3+ years of professional experience building and shipping machine learning or AI systems in production, with strong engineering fundamentals independent of AI-assisted tooling</p><p><br></p><p>Strong applied ML experience across the full lifecycle: you have trained, fine-tuned, and evaluated models (e.g. classification, regression, or forecasting), and can reason about data quality, features, and model performance. You compare alternatives against baselines and can explain why you chose a model, rather than defaulting to what is popular</p><p><br></p><p>Strong Python and the open-source ML ecosystem (e.g. scikit-learn, XGBoost/LightGBM, statsmodels), solid SQL, and API design, so the models you build can be served and integrated into real products</p><p><br></p><p>Real, hands-on experience building with AI/LLM capabilities in production — able to point to AI-driven features you’ve actually shipped (e.g. RAG pipelines, vector databases, or other LLM-adjacent infrastructure), not just curiosity about AI. Comfortable using AI coding tools day-to-day (e.g. Claude, Cursor, GitHub Copilot)</p><p><br></p><p>Experience with cloud platforms (Azure, AWS, or Google Cloud), including building cloud data pipelines and ETL across a medallion (bronze/silver/gold/platinum) architecture, and deploying and monitoring models in production</p><p><br></p><p>Excellent communication skills — able to explain technical concepts clearly to clients, partners, and non-technical stakeholders, and comfortable in customer-facing settings (demos, calls, workshops)</p><p><br></p><p>A flexible, product-minded, and collaborative approach — curious and accountable, comfortable moving between products and technologies as our portfolio grows rather than staying fixed to one stack, and taking initiative across teams</p><p><br></p><p>Fluent in written and spoken English</p><p><br></p><p>Reliable and deadline-driven — sets realistic estimates, hits them, and raises risk early when a date won’t be met</p><p><br></p><p>An active GitHub profile or portfolio of personal/side projects — evidence of hands-on engagement with the craft beyond day-to-day work</p><p><br></p><p><b style="font-size: 11px;">Nice to Have</b></p><p><br></p><p>Exposure to Java, Spring, or Spring Boot (useful for interoperating with our existing legacy platform)</p><p><br></p><p>Exposure to generative avatar or video rendering for chat- and kiosk-based interfaces</p><p><br></p><p>Familiarity with speech-to-text or transcription pipelines, including multilingual voice input</p><p><br></p><p>Familiarity with agent orchestration frameworks or multi-step tool-use patterns</p><p><br></p><p>Experience with Go, used in some of our AI backend services</p><p><br></p><p>Experience with MLOps practices such as experiment tracking, model versioning, and monitoring for drift</p><p><br></p><p>Working knowledge of a frontend framework (Vue or React) and Node.js, for prototyping interfaces around your models</p>

<p><h4>Aspire Software company overview</h4> <p>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>What you'll do</h4> <ul> <li>Ship AI features in our PHP/MySQL/React/Node stack with OpenAI API integration</li> <li>Extend our AI chatbot (Astro Core) with new capabilities like data visualization and analysis</li> <li>Help build out our external MCP connector (schema, auth, capabilities)</li> <li>Own prompt engineering as a core product discipline</li> <li>Build token metering, usage tracking, and tiered access controls</li> <li>Contribute to agent architecture: tool access, memory, token pool isolation</li> </ul> <h4>Requirements</h4> <ul> <li>Hands-on experience integrating LLM APIs (OpenAI, Anthropic, or similar) into production apps</li> <li>Strong prompt engineering skills (system prompts, function calling, structured outputs)</li> <li>Understanding of token economics and usage-based product design</li> <li>Experience with metered/rate-limited systems or billing integration</li> <li>Solid PHP and MySQL experience — comfortable in an existing production codebase</li> <li>React/Node for frontend features; TypeScript for backend MCP work</li> <li>Nice to have: RAG/vector DB exposure, LangChain/LlamaIndex familiarity, SaaS or ad-tech background, prior work on customer-facing agents</li> </ul></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Description<br><p><strong>About the Role</strong></p><br><p>We're looking for a Full-Stack Engineer to build our web application end-to-end and bring the MVP to life. You'll own the user-facing product and the backend that supports it, working closely with the AI Engineer to weave intelligent, real-time AI interactions into a smooth, reliable experience.</p><br><p><strong>What You'll Do</strong></p><br><ul><li>Build and ship the web application across frontend and backend, from UI components to APIs and data models</li><li>Design and implement a responsive, real-time conversational interface (React, WebSockets/SSE)</li><li>Develop backend services: authentication, session management, data persistence, and third-party integrations</li><li>Integrate AI and multi-agent services into the product in partnership with the AI Engineer</li><li>Design and maintain databases and API contracts that scale with product complexity</li><li>Own performance, reliability, and security across the stack</li><li>Translate product and design requirements into well-tested, maintainable features</li><li>Move fast in an early-stage environment, balancing speed with quality</li></ul><br>Qualifications<br><ul><li>4+ years of full-stack software engineering experience</li><li>Strong proficiency in TypeScript/JavaScript and a modern frontend framework (React preferred)</li><li>Solid backend experience (Node.js, Python, or similar) building and consuming APIs</li><li>Experience designing relational and/or NoSQL data models (PostgreSQL, MongoDB, etc.)</li><li>Familiarity with real-time communication patterns (WebSockets, SSE) and streaming UIs</li><li>Understanding of authentication, authorization, and secure data handling</li><li>Experience integrating third-party APIs, ideally including LLM or AI services</li><li>Comfort owning features end-to-end with minimal oversight</li></ul><br>Additional Information<br><ul><li>Experience building with LLM APIs or AI-powered product features</li><li>Familiarity with cloud platforms (AWS/GCP/Azure) and CI/CD pipelines</li><li>Knowledge of caching, queuing, and background job processing</li><li>Prior early-stage startup or 0-to-1 product experience</li></ul><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Description<br><p><strong>About the Role</strong></p><br><p>We're looking for an AI Engineer to design, build, and scale the systems that power our AI-driven product. You'll work at the intersection of large language models, multi-agent systems, and production software, turning cutting-edge AI capabilities into reliable, user-facing experiences.</p><br><p><strong>What You'll Do</strong></p><br><ul><li>Design and implement LLM-powered pipelines, including prompt engineering, context management, and response synthesis</li><li>Build and optimize multi-agent orchestration systems where AI components interact, reason, and produce coherent outputs</li><li>Develop and maintain integrations with foundation model APIs (Anthropic, OpenAI, and others), managing latency, cost, and reliability at scale</li><li>Implement retrieval-augmented generation (RAG) and memory systems for persistent, context-aware behavior</li><li>Partner with the Evaluation/QA Engineer to build frameworks that measure output quality, coherence, and factual grounding</li><li>Collaborate with product and design to translate workflows into robust technical experiences</li><li>Ship production features across the stack, from the model layer to the application</li></ul><p>Monitor, debug, and improve system performance, token efficiency, and guardrails</p><br><br>Qualifications<br><ul><li>3+ years of software engineering experience, with hands-on work building LLM-powered applications</li><li>Strong proficiency in Python and/or TypeScript/JavaScript</li><li>Experience with LLM APIs, prompt engineering, and agentic frameworks (e.g., LangChain, LlamaIndex, or custom orchestration)</li><li>Familiarity with vector databases and RAG architectures (Pinecone, Weaviate, pgvector, etc.)</li><li>Understanding of multi-agent systems, tool use, and function calling</li><li>Experience designing evaluation and testing strategies for non-deterministic AI outputs</li><li>Solid grasp of API design, async processing, and scalable backend architecture</li><li>Comfort working in a fast-moving, ambiguous, early-stage environment</li></ul><br>Additional Information<br><ul><li>Experience with real-time streaming (WebSockets, SSE) for conversational interfaces</li><li>Background in fine-tuning, model distillation, or inference optimization</li><li>Familiarity with cloud infrastructure (AWS/GCP/Azure) and CI/CD</li><li>Contributions to open-source AI projects</li></ul><br><br> </div>

Responsibilities: <br>- Perform mechanical maintenance activities across the plant. <br>- Ensure reliability of filling lines, packaging lines, and utilities. <br>- Troubleshoot mechanical breakdowns to minimize downtime. <br>- Develop and implement preventive maintenance plans. <br>- Monitor equipment performance and drive improvements. <br>- Prepare maintenance and root-cause reports. <br> <br>Requirements: <br>- Bachelor's degree in mechanical engineering or equivalent <br>- Minimum 5 years' hands-on mechanical maintenance in soft drinks/ FMCG manufacturing

<p><h4>Aspire Software company overview</h4> <p>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>What you'll do</h4> <ul> <li>Ship AI features in our PHP/MySQL/React/Node stack with OpenAI API integration</li> <li>Extend our AI chatbot (Astro Core) with new capabilities like data visualization and analysis</li> <li>Help build out our external MCP connector (schema, auth, capabilities)</li> <li>Own prompt engineering as a core product discipline</li> <li>Build token metering, usage tracking, and tiered access controls</li> <li>Contribute to agent architecture: tool access, memory, token pool isolation</li> </ul> <h4>Requirements</h4> <ul> <li>Hands-on experience integrating LLM APIs (OpenAI, Anthropic, or similar) into production apps</li> <li>Strong prompt engineering skills (system prompts, function calling, structured outputs)</li> <li>Understanding of token economics and usage-based product design</li> <li>Experience with metered/rate-limited systems or billing integration</li> <li>Solid PHP and MySQL experience — comfortable in an existing production codebase</li> <li>React/Node for frontend features; TypeScript for backend MCP work</li> <li>Nice to have: RAG/vector DB exposure, LangChain/LlamaIndex familiarity, SaaS or ad-tech background, prior work on customer-facing agents</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 Engineer 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> What you'll do: Ship AI features in our PHP/MySQL/React/Node stack with OpenAI API integration Extend our AI chatbot (Astro Core) with new capabilities like data visualization and analysis Help build out our external MCP connector (schema, auth, capabilities) Own prompt engineering as a core product discipline Build token metering, usage tracking, and tiered access controls Contribute to agent architecture: tool access, memory, token pool isolation Hands-on experience integrating LLM APIs (OpenAI, Anthropic, or similar) into production apps Strong prompt engineering skills (system prompts, function calling, structured outputs) Understanding of token economics and usage-based product design Experience with metered/rate-limited systems or billing integration Solid PHP and MySQL experience — comfortable in an existing production codebase React/Node for frontend features; TypeScript for backend MCP work Nice to have: RAG/vector DB exposure, LangChain/LlamaIndex familiarity, SaaS or ad-tech background, prior work on customer-facing agents.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Aspire Software is looking for a Full Stack Software 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: As a Full Stack Developer you’ll design, build, and maintain features across the full stack — from database and back-end services through to the front-end screens our customers use every day.<br> You’ll work within a collaborative, cross-functional team to solve real technical challenges and deliver improvements that thousands of grant managers rely on across the UK and beyond.<br> We’re a remote-first company, so you’ll collaborate with teammates across locations and are trusted to do your best work wherever you’re based.<br> This is a hands-on development role for someone who’s ready to take ownership of features and grow their skills quickly.<br> You’ll contribute to technical discussions, learn from experienced engineers, and help raise the quality of everything we ship.<br> Just as importantly, this is an AI-native role.<br> We expect you to use modern AI tooling to problem-solve and deliver faster every day, while also helping us build AI capabilities directly into the Flexigrant platform.<br> If using AI to accelerate your work is already second nature to you, you’ll fit right in.<br> Key responsibilities Design, develop, and maintain robust, scalable, and secure features across the full stack Write clean, efficient, well-documented code that adheres to best practices Use AI tooling as a core part of your daily workflow to problem-solve, write, review, and ship code faster Help build AI-powered features into the Flexigrant platform Contribute to technical discussions and architectural decisions within the team Take part in code reviews to maintain quality and share knowledge Debug and resolve issues across the application stack Work with the Product Owner and team to refine requirements and turn them into working software Participate in agile ceremonies — sprint planning, daily stand-ups, and retrospectives Contribute to continuous improvement of our development processes and practices Help support and maintain the production environment Stay current with emerging technologies, with a particular focus on advances in AI 2+ years of professional software development experience building secure, scalable applications in a fast-paced Agile environment Strong proficiency in C# / VB.<br>NET and the .<br>NET stack, including .<br>NET Core and ASP.<br>NET (MVC / Web API) Solid front-end skills across HTML, CSS, JavaScript and TypeScript Experience coding responsive web applications for a range of devices and browsers Strong relational database skills, particularly MS SQL Server and T-SQL, including schema design, data modelling, and query optimisation Good understanding of application architecture and software design principles (SOLID, DRY, object-oriented design) Understanding of security best practices in software development Knowledge of RESTful API design and implementation, and service-based architecture Experience with cloud platforms, preferably Microsoft Azure Experience with version control systems Understanding of CI/CD pipelines and DevOps practices Ability to write automated tests (unit, integration, etc.<br>) Experience using Claude Code and/or other AI coding tools (e.<br>g. Cursor, GitHub Copilot) as part of day-to-day development Experience using agentic AI software development lifecycles and workflows Ability to translate requirements from meetings and conversations into user stories or technical specs Working AI-Native AI is central to how we build, not an afterthought.<br> This role calls for someone who is AI-native: you already reach for AI to accelerate your work, and you’re excited to help embed AI deeper into both our development process and our product.<br> We’ll explore your AI fluency in the interview, so be ready to talk through — and show — how you work.<br> What “AI-native” means to us: You use AI coding tools such as Claude Code, Cursor, or GitHub Copilot as a natural, daily part of how you write, review, test, and ship code You have experience with agentic AI software development lifecycles and workflows — directing AI agents to plan, build, and iterate on real work, rather than using AI only for autocomplete or to answer one-off questions and queries You know how to prompt, steer, and critically review AI output, keeping quality and security high rather than blindly accepting suggestions You’re keen to help design and build AI-powered features into the Flexigrant platform You stay on top of a fast-moving field, continually adopting new tools and techniques that make you and the team more effective The bar here is high: we’re looking for someone at least as AI-native as our strongest engineers, and ideally someone who can raise it further.<br> Personal Characteristics Strong problem-solving skills with attention to detail Excellent written and verbal communication, able to be clear, concise, and accurate with both technical and non-technical audiences Self-motivated, with the ability to work independently when needed Collaborative team player who thrives in cross-functional environments Genuine passion for learning and staying current with technology, especially AI Pragmatic approach to development, with a focus on delivering value Resilience and adaptability when facing technical challenges Customer-focused mindset that considers end-user impact</span> </div>

<p>We are seeking a skilled and experienced Mechanical Technician to join our construction team. The successful candidate will be responsible for installing, maintaining, testing, and troubleshooting mechanical systems and equipment at construction sites, ensuring that all works are executed according to approved drawings, project specifications, quality standards, and safety regulations.</p><br><br><h4><b>Key Responsibilities</b></h4><br><br><p>Install, maintain, and repair mechanical systems and equipment in residential, commercial, and other construction projects.</p><br><br><p>Execute mechanical works related to HVAC systems, ventilation, plumbing, drainage, and other building mechanical services.</p><br><br><p>Read and interpret mechanical drawings, technical specifications, and equipment installation manuals.</p><br><br><p>Assist in the installation of air conditioning units, ventilation ducts, pumps, motors, piping networks, and related equipment.</p><br><br><p>Perform equipment inspections, testing, troubleshooting, and corrective maintenance.</p><br><br><p>Identify mechanical faults and carry out necessary repairs to ensure proper system operation.</p><br><br><p>Assist in the installation and testing of chilled water systems, water supply systems, and drainage networks, as applicable.</p><br><br><p>Coordinate with mechanical engineers, site engineers, electricians, and other trades to ensure proper execution of works.</p><br><br><p>Ensure that all installations comply with approved drawings, project requirements, and applicable safety standards.</p><br><br><p>Monitor the quality of mechanical installations and report technical issues to the direct supervisor.</p><br><br><p>Follow up on tools, equipment, and material requirements and report shortages to the supervisor.</p><br><br><p>Maintain tools and equipment in good working condition and minimize material waste.</p><br><br><p>Follow site safety procedures and use appropriate personal protective equipment (PPE).</p><br><br><p>Assist in conducting system testing, commissioning, and handover activities.</p>

As a General Technician, you play a crucial role in maintaining and repairing mechanical equipment and systems within the property. Your responsibilities include performing preventive maintenance, troubleshooting mechanical issues, and collaborating with other maintenance professionals to ensure the smooth operation of machinery. <br> <br>Key Job Responsibilities <br> <br>Perform preventive maintenance tasks on mechanical equipment and systems. <br> <br>Troubleshoot and diagnose mechanical issues in a timely manner. <br> <br>Use various tools and equipment to install, dismantle, and assemble mechanical components. <br> <br>Interpret technical drawings and specifications for accurate assembly and repairs. <br> <br>Conduct routine inspections to identify potential issues and ensure equipment functionality. <br> <br>Execute repairs and replacements of faulty components to maintain optimal performance. <br> <br>Maintain accurate records of maintenance activities, including inspections and repairs. <br> <br>Comply with health and safety regulations and maintain a safe work environment. <br> <br>Collaborate with the maintenance team to prioritize and schedule tasks efficiently. <br> <br>Provide support during equipment installations and modifications. <br> <br>Stay updated on industry trends and advancements in mechanical systems and technology. <br> <br>Assist in maintaining an organized inventory of spare parts and equipment. <br> <br>Participate in training programs to enhance technical skills and knowledge. <br> <br>Uphold environmental, health, and safety standards in alignment with organizational policies. <br> <br>Adhere to the company’s environmental, health, and safety procedures and policies

<p>Prepare cost estimates, quantity take-offs, and pricing for mechanical works. Review mechanical drawings, BOQs, specifications, and tender documents. Prepare and submit quotations and commercial offers for mechanical works. Collect and compare supplier and subcontractor quotations. Coordinate with suppliers and subcontractors to obtain competitive prices. Assist in preparing material and equipment cost breakdowns. Support the senior engineering and commercial teams in tender preparation. Review project requirements and identify the required mechanical materials, equipment, and scope of work. Assist in preparing variations, cost comparisons, and pricing updates. Coordinate with the site and procurement teams to ensure accurate pricing and material requirements. Maintain and update pricing databases and supplier information. Perform other engineering and estimation duties as assigned.</p><p><strong>Desired Candidate Profile</strong></p><p>Bachelor s degree in Mechanical Engineering. 1 3 years of experience in mechanical estimation, pricing, tendering, or construction. Previous experience in a construction or MEP company is preferred. Good understanding of mechanical systems, materials, and construction practices. Ability to read and interpret mechanical drawings and BOQs. Good knowledge of MS Office, particularly Excel. Strong analytical and numerical skills. Good communication and negotiation skills. Ability to work independently and meet deadlines. Female candidates are encouraged to apply.</p>