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