AI Engineer

About the role

We are hiring an AI Engineer (m/f/d) to holistically develop BIT Capital's LLM and agentic Artificial Intelligence capabilities: from the data science that turns data into investment signals, to the engineering that powers our financial intelligence agents. A strong initial focus is the build-out of "Aion" - our agentic research platform - that has first-class access to our data, models, and tools and is already in mainstream production, used by the investment team every day.

What you'll do

• Design and ship LLM-based extraction pipelines (prompts, retrieval, model selection, evaluations) that turn text and data into investment scores, alerts, signals, and insights reliable enough to drive decisions.
• Build and evolve the agentic systems that power Aion, along with the research skills and Python sidecars that agents execute.
• Build the integrations that give agents performant, safe access to BIT's data and capabilities.
• Build automated and human-in-the-loop evaluations, regression tests, and monitoring that track accuracy, hallucination rates, latency, cost, and model uncertainty.
• Establish the LLMOps practices that keep these systems reliable at scale: versioning of prompts, configs, and models; CI/CD; error handling; fallbacks; and cost control.
• Stay at the frontier of LLM and agentic AI techniques and bring new ideas into production rather than leaving them as experiments.

What you'll need

• At least 2 years building software, data systems, or ML in production.
• Product-minded software engineer mindset with shipped apps and agents you can point to publicly.
• Fluent with current LLM and agentic frontier, with hands-on experience using leading agentic systems (Claude Code, Anthropic Managed Agents, Codex, open-source agentic loops).
• Strong Python and SQL skills with clean engineering practices, plus cloud infrastructure experience (AWS strongly preferred).
• Production discipline for probabilistic systems: evaluations, regression tests, monitoring, reproducibility, and cost awareness.
• Genuine interest in investing, or strong drive to learn our domain quickly and deeply, paired with sharp general intelligence and clear systems thinking.

What they offer

• Work at the frontier of applied AI in asset management with petabytes of data and cutting-edge tools.
• Real technical direction and ownership from day one as the internal expert.
• Contribute to a unique success story in European asset management surrounded by industry experts.
• Motivated, highly international team (15 nationalities) with flat hierarchies and direct interaction with management.
• Competitive compensation, relocation, and visa support if needed.