AI Engineering Manager - ANJU

Employment: Full-time Experience: Entry level Education: Bachelor's Degree 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 components Design scalable, secure, and maintainable systems Lead decisions involving: LLM integration (OpenAI, Azure OpenAI, etc.) 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 & 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 & 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 Requirements 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