Staff AI Engineer

Berlin, Germany | Permanent

€100,000 – €200,000

Industry

  • Artificial Intelligence
  • Fintech

About the company

A late-stage, venture-backed fintech operating at scale has recently launched a dedicated AI division to embed production-grade GenAI systems into core financial and operational products. Following a significant Series B raise, the company is investing heavily in agentic AI, retrieval systems, and platform-level capabilities. They are hiring a Staff AI Engineer to lead architecture and execution across these systems.

About the role

You will operate as a senior technical leader within a newly formed AI group, owning system architecture and technical direction for production AI services.

The role is backend-first and focused on building agentic systems that combine LLMs with tool use, retrieval, and structured knowledge. You’ll define standards for evaluation, observability, reliability, and deployment, make pragmatic build-vs-buy decisions, and work closely with product partners to translate technical constraints into roadmap decisions. You’ll also mentor engineers and raise the overall technical bar of the organisation.

Perks:

  • Competitive compensation with senior-level scope
  • High-ownership role with influence over AI architecture and standards
  • Dedicated learning and development budget
  • Flexible working hours, modern equipment, and commuter/wellness benefits

Requirements:

  • 8+ years building and operating backend systems in production (strong Python required; TypeScript for integrations preferred)
  • 3+ years shipping LLM / GenAI features to users (e.g. RAG, tool use, agent or multi-agent systems)
  • Strong foundation in machine learning fundamentals and distributed systems
  • Proven technical leadership, including architecture ownership and mentoring

Sounds good?

Apply now

For more information, connect with our specialised team member on LinkedIn

Aaron Karl van Kan

Recruitment Consultant

Berlin-based recruiter specialising in Data and AI hires for early-stage and scaling startups