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Senior AI Engineer

UMO · Doubaï

New
Senior 🇬🇧 English
Python LangGraph Microsoft Agent Framework RAG RAGAS DeepEval pgvector Milvus

Job description

About the role

UMO is a FinTech venture building an AI-powered money platform across fiat, crypto and investments, with its headquarters in the UAE and offices in Portugal and Ukraine. As a Senior AI Engineer you will take direct technical ownership of key parts of the AI ecosystem, with autonomy to build clean, high-impact architecture. The role focuses on production-grade AI systems, agentic workflows and LLM tooling.

Key responsibilities

  • Write production code and implement robust backend components and reliable asynchronous execution pipelines alongside AI models
  • Design deterministic-agentic bridges so complex autonomous tasks stay within predictable, secure and compliant financial boundaries
  • Take full responsibility for moving machine learning models from research prototypes to stable, performant production code
  • Work with backend and data engineers to bring agentic workflows to monitored production, covering retrieval, memory, context and orchestration
  • Use modern AI tools (Cursor, Claude Code, Copilot) as part of daily engineering

Required profile

  • 7-15 years of overall software engineering experience, including 3+ years in senior AI or ML engineering roles
  • Deep software fundamentals and hands-on experience designing, writing and scaling production ML and AI systems
  • Experience shipping agentic systems into production, not just prototyping them
  • Comfort designing AI systems within strict security, compliance and audit boundaries; fintech or crypto background is not required
  • Fluent English

Required skills

  • Python and asynchronous execution models
  • LLM tooling and orchestration frameworks such as LangGraph and Microsoft Agent Framework
  • Agentic patterns such as Plan-and-Solve, ReAct and Reflection
  • Prompt and context engineering
  • RAG pipelines, semantic search, chunking, embeddings, hybrid search and re-ranking
  • Evaluation with RAGAS and DeepEval
  • Handling PII and sensitive data with LLMs in a regulated environment

What we offer

  • 24 days of annual leave, paid sick leave and observance of public holidays
  • Two consecutive 4-day work weeks after the first year
  • Top-of-the-line hardware and a home office stipend
  • A learning budget and a path toward executive-level leadership

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Published 23 hours ago

Expires 1 month from now

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UMO

Doubaï