Senior AI Engineer: Production ML & Agentic Systems

UMO

Lisboa

Hybrid

EUR 90,000 - 150,000

Full time

5 days ago
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Benefits offered by this job

Annual leave 24 days
Sick leave
Public holidays observance
Home office stipend
Learning budget
Growth path to leadership
Remote-friendly

Job summary

UMO, a stealth-mode FinTech venture, seeks a Senior Engineer to own core AI systems and production pipelines, shaping an AI-powered money platform. You will work with modern LLM tooling, design agentic frameworks, and collaborate with data engineers to deploy scalable solutions while maintaining strict security and regulatory considerations.

Join a multinational team and help deliver high-impact components across fintech domains, with a strong emphasis on code quality, autonomy, and end-to-end

Qualifications

  • Senior engineer with 5+ years of hands-on experience in building production-grade ML/AI systems.
  • Experience with modern LLM tooling and orchestration frameworks, and deploying agentic systems.

Responsibilities

  • Write production backend code and robust asynchronous components.
  • Design deterministic-agentic bridges for autonomous tasks within secure financial boundaries.
  • Deploy ML models from research to scalable production systems.
  • Collaborate across data/backend teams for end-to-end agentic workflows.

Skills

Python
Async programming
ML systems
LLM tooling
Agentic frameworks
Semantic search
Retrieval
Data privacy
Production deployment
English proficiency

Tools

Cursor
Claude Code
Copilot

Job description

UMO, a stealth-mode FinTech venture, seeks a Senior Engineer to own core AI systems and production pipelines, shaping an AI-powered money platform. You will work with modern LLM tooling, design agentic frameworks, and collaborate with data engineers to deploy scalable solutions while maintaining strict security and regulatory considerations.

Join a multinational team and help deliver high-impact components across fintech domains, with a strong emphasis on code quality, autonomy, and end-to-end

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