AI Engineer (m/f/d) at BIT Capital GmbH
May no longer be active — verify on the employer site
At a glance
- Company
- BIT Capital GmbH
- Location
- Germany
- Work arrangement
- On-site
- Employment type
- Permanent
- Experience
- 2–5 years
- Working hours
- 40 hours
- Visa sponsorship
- Offered, according to the listing
- Posted
- Added to The Stack
✨ The Stack take on this BIT Capital GmbH job
- 🏢 BIT Capital GmbH has 2 jobs here, 1 with visa sponsorship see all
- 🛂 Visa: EU Blue Card. Minimum salary: €50,700 a year guide
- 💡 No salary shown. Ask BIT Capital GmbH if it is above the minimum.
Updated 2026-11-05, from our data and official sources.
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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.
Key skills
- Python — in 1200 other listings on The Stack
- SQL — in 545 other listings on The Stack
- AWS — in 802 other listings on The Stack
- Databricks — in 46 other listings on The Stack
- LLM — in 51 other listings on The Stack
- Agentic AI — in 39 other listings on The Stack
- LLMOps — in 3 other listings on The Stack
- Data Science — in 86 other listings on The Stack
- Machine Learning
- CI/CD
- Prompt Engineering
- Model Evaluation
- Software Engineering
- Cloud Infrastructure
- Retrieval Augmented Generation
- System Design
On The Stack (as of 2026-11-05)
Frequently asked questions about BIT Capital GmbH
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.