AI Engineering Intern (m/f/d)

Stellenbeschreibung:

YOUR 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