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About the Role

We are hiring an AI Engineer to holistically develop BIT Capital's LLM and agentic Artificial Intelligence capabilities, from data science to engineering. A strong initial focus is the build-out of “Aion” - our agentic research platform. Your mandate covers everything LLM- and agent-related across BIT, from research products for the investment team to internal tools and client-facing experiences. You work autonomously, from first scoping to shipping, and self-select impactful use cases and projects. You report to our Chief AI Officer & Managing Partner and work side by side with our second AI Engineer, acting as our internal expert as the frontier of AI moves. Our stack is Python, SQL, AWS, and Databricks, with models and agentic frameworks from leading AI labs.

Responsibilities

• Build and evolve the agentic systems that power Aion, along with the research skills and Python sidecars that agents execute.
• Build 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.
• Benchmark and select the right model per task, including open-source options.
• Establish 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.
• 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.

Requirements

• You have a solid data science and engineering background, with at least 2 years building software, data systems, or ML in production.
• You adopt the mindset of a product-minded software engineer.
• You have shipped your own apps and agents and can point us to a public project, repo, or product.
• You are fluent with the current LLM and agentic frontier, with hands-on experience using leading agentic systems (Claude Code, Anthropic Managed Agents, Codex, open-source agentic loops).
• You have strong Python and SQL skills with clean engineering practices, plus cloud infrastructure experience (AWS strongly preferred).
• You bring production discipline for probabilistic systems: evaluations, regression tests, monitoring, reproducibility, and cost awareness.
• A scientific approach to turning LLMs into signals and scores (ground-truth datasets, train/test/iterate) is a plus; a data science or ML background helps but is not required.
• You have a genuine interest in investing, or at minimum a strong drive to learn about our domain quickly and deeply, paired with sharp general intelligence and clear systems thinking.
• You mainly use AI tools for your own productivity and have not yet taken systems into production.
• You are looking for a finished, stable AI stack to operate and maintain.

Skills

• Python
• SQL
• AWS
• Databricks
• Claude Code
• Anthropic Managed Agents
• Codex
• LLM
• Agentic AI
• Data Science
• Engineering
• Machine Learning
• Cloud Infrastructure
• LLMOps
• CI/CD
• Prompt Engineering
• Retrieval Augmented Generation
• Model Evaluation
• Regression Testing
• Monitoring
• Cost Control
• Systems Thinking
• Product Mindset

Location

• Berlin

Work Type

• Onsite
• Full-time

Experience Level

• At least 2 years building software, data systems, or ML in production

Benefits

• Competitive compensation
• Relocation support
• Visa support

About the Company

• BIT Capital combines the expertise of an industry leader in asset management with the agility of a young tech company.
• With its investment products, BIT Capital enables investors to participate in the future growth of the technology-driven world.
• The guiding principle is always to be “Ahead of the Curve" - anticipating technology mega trends and identifying the major investment opportunities of the future before they emerge.
• The BIT Capital team expertly navigates a constantly evolving landscape of complex technology sectors, identifying tomorrow's technology leaders at an early stage on behalf of its investors.
• The experienced team currently consists of around 40 professionals, including an investment team of 20 financial market experts, sector specialists, data engineers and software developers.
• The flagship fund, BIT Global Technology Leaders, has received multiple performance awards and is one of the highest performing equity funds in Europe.

Equal Opportunity

• As part of our recruitment process, we use digital tools that incorporate AI-supported functionalities to structure and review application materials and to support the selection process. The results are used solely as support for the initial screening and are always reviewed by responsible personnel. Decisions regarding an offer of employment or a rejection are not made solely by automated means.