AI Engineering Manager - ANJU
Aspire Software | Beirut, Beirut Governorate, Lebanon
Full-Time | Hybrid
Posted
Job description
Description Aspire Software is looking for an AI Engineering Manager 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. About The Job The AI Engineering Manager leads a cross-functional team (Development & QA) and owns technical architecture, delivery outcomes, AI-enabled system design and driving an AI first culture among your team. This role is both strategic and hands-on. It requires strong expertise in modern AI frameworks, applied AI architectures, and scalable system design. The manager is accountable for delivering stable, secure, AI-powered capabilities — not just managing execution. Core Responsibilities Technical Leadership & Architecture Own product architecture, including AI/LLM-integrated componentsDesign scalable, secure, and maintainable systems Lead Decisions Involving LLM integration (OpenAI, Azure OpenAI, etc.)RAG architectures and vector databasesAI orchestration frameworks (LangChain, Semantic Kernel, LlamaIndex)Ensure system reliability, observability, and cost efficiencyEstablish AI governance and safe usage practices AI Framework & Methodology Expertise Apply modern AI methodologies, including:Retrieval-Augmented Generation (RAG)Prompt engineering and evaluationAI output validation and guardrailsHuman-in-the-loop workflowsModel monitoring and performance evaluationDrive experimentation, A/B testing, and telemetry-based decision making Team Leadership Lead and mentor developers and QA engineersRaise AI literacy across the teamEstablish AI-native coding and review standardsBalance speed, quality, and architectural integrity Delivery & Outcome Ownership Own predictable, high-quality releasesEnsure AI features are measurable, validated, and production-readyAct as technical escalation pointDrive cross-team alignment with Product, Data, and DevOps AI-Driven Engineering Excellence Leverage AI-assisted development tools to improve velocityOptimize AI cost-performance tradeoffsEmbed automation into testing and CI/CD pipelines Requirements 7+ years software engineering experience, 2+ years in technical leadershipHands-on experience building and deploying AI-enabled systems Strong Knowledge Of LLM integration and prompt designRAG architectures and vector searchAI orchestration frameworksCloud platforms (Azure, AWS, or GCP)Experience designing scalable distributed systems Preferred Experience in regulated industriesAI governance and compliance knowledgeModel lifecycle management and monitoring tools
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