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Open nowPosted 20 days ago

AI Engineering Manager - ANJU

Workable (global search)108,016 open roles

Where
Beirut, Beirut Governorate, Lebanon
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Your applicationOpen nowAI Engineering Manager - ANJUWorkable (global search) · Beirut, Beirut Governorate, Lebanon

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The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 7 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 20 days ago

Workable (global search) median: 7 days open

The posting

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
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