AI Engineer - LLM Systems (m/f/d)

BIT Capital GmbH; Deutschland; Hybrid; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading AI-driven investment firm in Berlin is seeking a hands-on AI Engineer to design and optimize large language models for investment research. The role involves collaborating with data science and engineering teams to develop systems that enhance research productivity and investment performance. Ideal candidates will have strong Python skills and a passion for AI and investing, with at least 2 years of experience in related fields. Competitive compensation and relocation support are available.

Leistungen

Competitive compensation

Relocation support

Professional growth opportunities

Collaborative environment

Transparent feedback culture

Qualifikationen

• 2 years of experience in Software Engineering, Data Engineering, or AI/ML Engineering.
• Familiarity with AI/LLM APIs is a plus.
• Ability to write clean, reliable Python code.

Aufgaben

• Design and optimize LLM workflows tailored to the investment domain.
• Develop core AI systems like retrieval-augmented generation (RAG).
• Ensure compliance-ready auditability and reproducibility.

Kenntnisse

Python skills

Collaboration

Fast learning

Investment knowledge

Ausbildung

Bachelor's degree in relevant field

Jobbeschreibung

YOUR ROLE

We are looking for a hands-on AI Engineer - LLM Systems (m/f/d) to join our growing AI Engineering team in Berlin.

You will design, build, and optimize large language and reasoning models (LLM/LRM) workflows inside BIT Capital, developing the scaffolding, evaluation frameworks, and integrations that turn foundation models into durable systems for investment research.

You will design and optimize multi-step LLM chains and agentic workflows that generate investment insights from unstructured data, build frameworks for versioning prompts and models, and ensure reproducibility, auditability, and cost/performance tradeoffs. You will work on retrieval-augmented generation (RAG/GraphRAG), context/memory systems, prompt optimization, model selection (open-weight and commercial), fine-tuning, and evaluation pipelines.

Your work will sit at the center of BIT Capital\'s research platform: you will collaborate closely with Data Science (statistical/ML models) and Engineering (data pipelines, deployment) to embed LLM/LRM systems into end-to-end workflows that combine statistical, ML, and reasoning building blocks. You will also contribute to interactive research products used by the investment team, and over time, support internal tools for Sales/Marketing/Operations and client-facing experiences.

Success is measured by improvements in research productivity and time-to-insight, and ultimately by a positive, measurable impact on alpha generation across our funds.

Location: Berlin HQ (hybrid). Relocation: Berlin relocation required (visa/relocation support available).

YOUR RESPONSIBILITIES

• LLM/LRM workflows for investing: Design and optimize prompts and multi-step LLM workflows tailored to the investment domain. Participate in complex end-to-end research pipelines that combine statistical models, ML, and LLM/LRM components, working closely with the Data Science team.
• Interactive products: Contribute to agentic research tools for the investment team, and over time extend these capabilities to other departments and client-facing experiences.
• LLM/LRM systems & scaffolding: In collaboration with Engineering, develop and improve core AI systems such as retrieval-augmented generation (RAG and GraphRAG), context/memory frameworks, automatic prompt optimization, and fine-tuning of open-weight models.
• Evaluation & monitoring: Build and maintain automated and human-in-the-loop evaluation pipelines, regression tests, and observability tooling to track accuracy, hallucination rates, latency, and costs, and model uncertainty; ensure compliance-ready auditability and reproducibility.
• Scaling & reliability: In collaboration with Engineering, establish the infrastructure and practices to scale LLM systems reliably, including version control for prompts/configs/models, CI/CD workflows, error handling and fallback strategies, and infrastructure that supports high concurrency and growing workloads.
• Expertise & innovation: Stay at the forefront of state-of-the-art models and techniques. Act as the company\'s internal expert on how to get the best out of LLMs, and continuously bring new ideas into production.

YOUR PROFILE

• Exceptional intellectual or hands-on achievements, such as outstanding academic performance, success in math/science competitions, significant entrepreneurial/technical projects, or meaningful contributions to open-source.
• 2 years of experience as a Software Engineer, Data Engineer, or AI/ML Engineer, with exposure to modern AI/LLM APIs.
• Strong Python skills, with the ability to write clean, reliable code.
• Fast learner with a growth mindset: eager to master new tools and approaches, and comfortable operating at the edge of what's possible.
• Structured and reliable: you thrive on turning prototypes into production-ready systems, with a focus on robustness, reproducibility, and long-term scalability.
• Strong collaborator, able to work closely with engineering, data science, and investment colleagues.
• Investment knowledge/passion: Prior familiarity with stock investing is highly preferred; at minimum, a voracious interest to learn quickly and deeply.
• Language: English required; German nice to have.

YOUR MINDSET

You are passionate about LLMs and reasoning systems, emerging AI techniques, and investing - and about building systems that drive very high business impact. You combine curiosity for cutting-edge AI with the discipline to engineer reliable, scalable, and auditable solutions. You thrive on structure, finishing projects end-to-end, and ensuring decisions are grounded in clear evaluations and logic. You are a fast learner, pragmatic builder, and problem-solver who fits naturally into a transparent, high-performance team culture.

OUR BENEFITS

• Work hands-on with state-of-the-art models and tools in a production environment; at BIT Capital, new models and tools go into production in days, not quarters.
• Shape BIT Capital\'s next-generation AI research stack, with direct impact on investment performance.
• Collaborate with some of the brightest minds in AI, engineering, and investing in Europe.
• Flat hierarchy and direct interaction with the management and senior staff of BIT Capital.
• Assumption of responsibility from day one; steep learning curve and professional growth opportunities.
• A transparent, appreciative feedback culture for your personal development.
• Competitive compensation package as well as relocation and visa support.

How to apply for this position: Please include your resume and a brief note describing an LLM system or workflow you have built, how you evaluated its performance, and what impact it achieved. Links to code samples, repos, or technical writeups welcome.