Engineering Jobs in Lebanon

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> About the Role You’ll design coding tasks that challenge frontier AI coding agents.<br> Each task is a self-contained Docker environment with a broken piece of software; an AI agent attempts the fix; automated tests verify the outcome.<br> Your deliverable is the full task package: broken code, tests, instructions, and a reference solution proving the task is solvable.<br> Responsibilities : Invent a realistic developer scenario — a real bug, a broken ETL, a missing feature — not a toy problem.<br> Build a reproducible Docker environment with pinned dependencies.<br> Write a pytest that verifies outcomes, not specific commands — deterministic, non-flaky, and does not leak the fix.<br> Write an instruction.<br>md that reads like a Jira ticket a developer would receive.<br> Write a reference solve.<br>sh proving the task is solvable.<br> Calibrate difficulty so current state-of-the-art agents solve the task 20–60% of the time.<br> Iterate based on feedback from expert QA reviewers.<br> Later: review other authors’ tasks as a QA reviewer.<br> Not in scope Data labeling, prompt engineering.<br> Production code to ship — you design problems and verification for AI agents.<br> Leetcode puzzles — scenarios must look like real developer work.<br> Not every candidate task ships — quality over quantity.<br> Requirements 3+ years of production software development in one backend stack — Python, Go, Node.<br>js, Java, or Rust.<br> Depth in one stack beats breadth.<br> Python + pytest fluency — required regardless of primary stack.<br> The task harness is pytest-based even when the broken app is in another language.<br> Fixtures, parametrize, monkeypatch, timeouts, conftest.<br>py. Docker authoring — reproducible Dockerfiles, pinned dependencies, multi-stage builds when needed, non-root user.<br> Linux &amp; Bash — comfort debugging inside containers (strace, lsof, journalctl); shell beyond set -euo pipefail.<br> AI coding agent experience — Claude Code, Cursor, Roo Code, or similar, on non-trivial work.<br> You can cite a specific time the AI was confidently wrong and how you caught it.<br> English — B2+ written.<br> Not a fit Data Science, ML, or Computer Vision engineers without backend-engineering output.<br> Manual QA testers without automation or test authoring.<br> Frontend-only, low-code / no-code, IT Support, or Business Analysts.<br> Engineers who have never written pytest from scratch.<br> Junior, intern, or assistant as the most recent role.<br> Preferred qualifications Domain depth in Security, System Administration (nginx / systemd / cron), Scientific Computing (NumPy / PyTorch / SciPy), DevOps, or Git internals.<br> Modern Python tooling (uv, poetry, pyproject.<br>toml). Coverage tooling (pytest-cov, coverage.<br>py, gcov, llvm-cov, kcov).<br> Fuzzing or property-based testing (Hypothesis).<br> Prior contribution to agent-evaluation benchmarks or related frameworks.<br> Process Apply → Pass qualification (90-minute sample-task screen + short behavioral interview) → Join a project → Complete tasks → Get paid.<br> Time commitment Onboarding: ~10 hours per first task.<br> Steady state: ~5 hours per task, 2–4 parallel tasks per author.<br> Realistic weekly load: 8–20 hours.<br> Higher volume available for top performers.<br> You choose when and how to contribute; tasks must be submitted by the deadline and meet acceptance criteria.<br> Compensation: Paid contributions, rates up to $35/hour *.<br> Task-based compensation equivalent to hourly rate, depending on performance and volume.<br> Some projects include incentive payments.<br> *Rates vary based on expertise, skills assessment, location, project needs, and other factors.<br> Higher rates may be provided to highly specialized experts.<br> Lower rates may apply during onboarding or non-core project phases.<br> Payment details are shared per project.<br> Apply Submit your CV via the Mindrift platform.<br> Indicate your English level, note this role (Software Engineering Evaluation Specialist — Terminal Bench), and include a GitHub profile link if available.<br></span> </div>

A well reputable engineering firm in Beirut is looking for structural engineers

Join our Beirut team and be part of something significant. <br> <br>We are looking for a skilled and motivated Architect with 5+ years of professional experience and strong expertise in Revit and Rhino to join our office in Beirut, Lebanon. <br> <br>This is an exciting opportunity to work on a major, large-scale landmark project, collaborating with a multidisciplinary team and contributing to a challenging and rewarding architectural environment. <br> <br>What we’re looking for: <br>Bachelor’s or Master’s degree in Architecture <br>5+ years of relevant professional experience <br>Advanced proficiency in Revit & Rhino <br>Strong architectural design and technical skills <br>Excellent attention to detail and problem-solving abilities <br>Ability to work effectively within a multidisciplinary team <br>Experience with large-scale projects is a strong advantage <br> <br>???? Location: Beirut, Lebanon <br>???? To apply: Send your CV to info@bim-me.com <br> <br>If you are an ambitious architect ready to take on new challenges and contribute to a landmark project, we would love to hear from you. <br> <br>Join us. Design with us. Build what’s next

Role Overview <br>We are expanding our operations in the Democratic Republic of Congo and looking for an exceptional mechanical engineer to join our site team. <br> <br>If you are a hands-on mechanical expert who thrives in heavy industrial environments and excels at maximizing equipment uptime, diagnosing complex mechanical failures, and optimizing machinery performance, this role is for you! You will be the technical backbone ensuring our heavy assets operate safely, efficiently, and reliably. <br> <br>Key Responsibilities <br>Equipment Reliability & Maintenance: Develop and execute comprehensive preventive and predictive maintenance programs for heavy machinery and industrial equipment to maximize operational uptime. <br> <br>Root-Cause Failure Analysis: Lead investigations into mechanical breakdowns, component failures, and system anomalies. Design and implement permanent engineering solutions to prevent recurrence. <br> <br>Technical Oversight & Spare Parts Specifications: Define technical specifications for critical spare parts, review material quality, and collaborate with procurement to ensure replacement components meet rigorous engineering standards. <br> <br>Installation & Commissioning: Oversee the installation, alignment, testing, and commissioning of new mechanical systems, hydraulic/pneumatic circuits, and heavy plant equipment. <br> <br>Workshop & Team Leadership: Guide on-site technicians and mechanical teams during complex repairs, ensuring strict adherence to safety protocols, quality standards, and standard operating procedures (SOPs). <br> <br>Role Requirements & Qualifications <br>Education: Bachelor’s degree in Mechanical Engineering or a closely related technical engineering discipline. <br> <br>Language: Proficiency in French (spoken and written) for effective on-site communication and technical oversight

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Aspire Software is looking for an AI Engineering Manager 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: The AI Engineering Manager leads a cross-functional team (Development &amp; QA) and owns technical architecture, delivery outcomes, AI-enabled system design and driving an AI first culture among your team.<br> This role is both strategic and hands-on.<br> It requires strong expertise in modern AI frameworks, applied AI architectures, and scalable system design.<br> The manager is accountable for delivering stable, secure, AI-powered capabilities — not just managing execution.<br> Core Responsibilities Technical Leadership &amp; Architecture Own product architecture, including AI/LLM-integrated components Design scalable, secure, and maintainable systems Lead decisions involving: LLM integration (OpenAI, Azure OpenAI, etc.<br>) RAG architectures and vector databases AI orchestration frameworks (LangChain, Semantic Kernel, LlamaIndex) Ensure system reliability, observability, and cost efficiency Establish AI governance and safe usage practices AI Framework &amp; Methodology Expertise Apply modern AI methodologies, including: Retrieval-Augmented Generation (RAG) Prompt engineering and evaluation AI output validation and guardrails Human-in-the-loop workflows Model monitoring and performance evaluation Drive experimentation, A/B testing, and telemetry-based decision making Team Leadership Lead and mentor developers and QA engineers Raise AI literacy across the team Establish AI-native coding and review standards Balance speed, quality, and architectural integrity Delivery &amp; Outcome Ownership Own predictable, high-quality releases Ensure AI features are measurable, validated, and production-ready Act as technical escalation point Drive cross-team alignment with Product, Data, and DevOps AI-Driven Engineering Excellence Leverage AI-assisted development tools to improve velocity Optimize AI cost-performance tradeoffs Embed automation into testing and CI/CD pipelines 7+ years software engineering experience, 2+ years in technical leadership Hands-on experience building and deploying AI-enabled systems Strong knowledge of: LLM integration and prompt design RAG architectures and vector search AI orchestration frameworks Cloud platforms (Azure, AWS, or GCP) Experience designing scalable distributed systems Preferred Experience in regulated industries AI governance and compliance knowledge Model lifecycle management and monitoring tools</span> </div>

A well reputable engineering firm in Beirut is looking for architects and interior designers