AI Engineering Intern (m/f/d)
At a glance
Highlights
- Direct exposure to investment research
- Access to advanced AI tools
- Flat hierarchy with decision-makers
- Modern central Berlin office
- Performance-awarded fund
Why this role might suit you
The internship provides hands‑on experience building AI‑powered tools for investment research at a fast‑growing fintech, offering direct interaction with investors, exposure to cutting‑edge machine‑learning techniques, and a collaborative Berlin environment.
Skills
About the role
Back to all jobsAI Engineering Intern (m/f/d)
Berlin HQFull or part-timeIntern / StudentApply for this jobEnglishYOUR ROLE
We are looking for an AI Engineering Intern to join our team in Berlin and help build the tools and infrastructure that power our investment research.
From Day 1, you will work alongside our data and investment teams to develop AI-powered solutions that give BIT Capital an edge in understanding markets and companies.
- Develop LLM-powered tools to automate and enhance workflows across the firm - Work with APIs and databases to integrate new data into our systems
- Contribute to internal tooling that supports our analysts, portfolio managers, and sales teams
- Collaborate with the team to identify opportunities where AI can add value
YOUR PROFILE
- - Currently enrolled in a Bachelor's or Master's program in Computer Science, Data Science, or a related field at a leading technical university - Strong programming skills in Python
- Experience in working with coding agents like Cursor, Claude Code, Codex, etc.
- You have built something (a side project, open-source contribution, or startup) and can show us your work
- Hands-on experience with LLMs and AI/ML frameworks (e.g., working with APIs like OpenAI, Anthropic, or open-source models)
- Experience with databases (SQL) and building data pipelines
- Comfortable working with APIs and integrating external data sources
- Fluent in English
- Nice to have:
- Experience with cloud platforms (AWS, GCP) or data platforms (Databricks, Snowflake)
- Familiarity with financial data or interest in capital markets
- Previous internship or project experience in a fast-paced environment
YOUR MINDSET
- You are curious and eager to learn how AI can transform investment research and financial services - You are always trying out the latest AI tools and frameworks and are on top of this fast-moving space
- You thrive in a collaborative environment and communicate clearly
- You take ownership of your work and deliver results independently
- You are excited about working at the intersection of technology and finance
OUR BENEFITS
- Work directly with experienced investors, data engineers, and software developers - Steep learning curve in a rapidly growing asset manager
- Access to AI tools and resources to experiment and build
- Flat hierarchies and direct access to decision-makers
- A modern office in central Berlin
- Regular team events and offsites
About us
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 megatrends 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. 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.
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