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Valsoft Corporation

AI Engineering Manager - ANJU

Valsoft Corporation Beirut, Beirut Governorate, Lebanon

Financial Services · 1,001-5,000 employees

17 h ago
Remote engineering-manager Senior (5-10 yrs) Full-time Lebanon
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About the role

The AI Engineering Manager leads a cross-functional team to design and deliver scalable, secure, AI-powered systems while driving an AI-first culture. They are responsible for technical architecture, AI governance, and ensuring high-quality, measurable product releases.

What they look for

AI Engineering Technical Leadership LLM Integration RAG Architectures Vector Databases AI Orchestration System Design Cloud Platforms Prompt Engineering Model Monitoring Software Architecture CI/CD Pipelines Team Mentorship AI Governance Distributed Systems

Requirements

Candidates must have at least 7 years of software engineering experience, including 2 years in technical leadership. Proficiency in modern AI frameworks, LLM integration, RAG architectures, and cloud platforms is required.

Full description

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
  • 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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