AI Engineering Manager - ANJU

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