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