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