# AI Engineer (m/f/d) at BIT Capital GmbH

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> Responsibilities: - Design, build, and productionize LLM and

- **Company:** BIT Capital GmbH (https://jobs.trythestack.co/companies/bit-capital-gmbh)
- **Location:** Germany
- **Work arrangement:** On-site
- **Employment type:** Permanent
- **Experience level:** 2–5 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Python, SQL, AWS, Databricks, LLM, Agentic AI, LLMOps, Data Science, Machine Learning, CI/CD, Prompt Engineering, Model Evaluation, Software Engineering, Cloud Infrastructure, Retrieval Augmented Generation, System Design
- **Posted by employer:** 2026-06-24
- **Added to The Stack:** 2026-06-25
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://bitcap.jobs.personio.com/job/2685548 (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/ai-engineer-mfd-bit-capital-gmbh

## About the role

Responsibilities:
- Design, build, and productionize LLM and agentic AI systems (primary focus: Aion research platform).
- Implement agent logic, Python sidecars, and integrations that give agents safe, performant access to data and tools.
- Create investment-signal pipelines: retrieval, prompts, model selection, evaluation, and deployment.
- Establish LLMOps practices: prompt/model/config versioning, CI/CD, monitoring, error handling, and cost controls.
- Build automated and human-in-the-loop evaluations, regression tests, and monitoring for accuracy, hallucinations, latency, and uncertainty.
- Keep models and agentic techniques at the frontier and move successful experiments into production.

Requirements:
- 2+ years building software or ML/LLM systems in production with strong Python and SQL skills.
- Experience with cloud infrastructure (AWS) and data platforms (Databricks preferred).
- Familiarity with LLMs, agent frameworks (e.g., Anthropic Managed Agents), RAG, prompt engineering, and model benchmarking.
- Hands-on LLMOps experience: versioning, CI/CD, monitoring, and cost/latency trade-offs.
- Strong product-minded engineering approach, unit/regression testing, and evaluation design skills.
- Good communication and ability to autonomously scope, ship, and iterate on projects.

## Responsibilities

Develop and scale agentic AI capabilities and LLM-based research platforms to generate investment signals. Establish LLMOps practices and build integrations to provide AI agents with safe, performant access to financial data.

## Requirements

Requires at least 2 years of experience building software or ML systems in production with strong Python and SQL skills. Candidates must be proficient with current LLM frontiers and agentic frameworks, demonstrating a product-minded engineering approach.

## FAQ

- **Is this AI Engineer (m/f/d) role still open?** It was posted on 2026-06-24. Listings more than 30 days old may no longer be active, so check BIT Capital GmbH's site before applying.
- **Does BIT Capital GmbH offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on BIT Capital GmbH's site.
- **Where is this role located?** The listing gives the location as Germany. It is marked on-site.
- **What skills does this role ask for?** The listing names: Python, SQL, AWS, Databricks, LLM, Agentic AI, LLMOps, Data Science, Machine Learning, CI/CD, Prompt Engineering, Model Evaluation, Software Engineering, Cloud Infrastructure, Retrieval Augmented Generation, System Design.

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