AI Engineer at Flank
Berlin, , Germany -
Full Time


Start Date

Immediate

Expiry Date

26 Nov, 25

Salary

0.0

Posted On

27 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Aws, Distributed Systems, Kubernetes, Thought Leadership, Machine Learning, Containerization, Docker, Computer Science, Typescript, Python, Fine Tuning, Azure

Industry

Information Technology/IT

Description

Flank is the leading Agentic AI platform for in-house legal teams—built for a future where autonomous AI colleagues handle entire workflows.
Companies like TravelPerk, QA, and Mural use Flank to automate contract negotiation, email triage, and security reviews. What used to take hours of manual work now happens automatically.
We’re building in an emerging market that’s reshaping how businesses operate. Instead of incremental software improvements, we’re designing entirely new ways for AI and humans to collaborate.
If you’re excited about defining what’s possible when AI becomes a true colleague, you’ll find a home here.
We’re seeking an experienced AI Engineer to drive our applied AI initiatives.
We’re a fast-moving start-up where you’ll work closely with product, design, and commercial teams to ship real AI into production — not just research experiments.
You will be tasked with leveraging emerging technologies and a team of legal experts to improve the intelligence and autonomy of our agents.
This might start with building an evals framework in collaboration with our team of lawyers, it might spawn a hypervisor that governs every step of our agentic system and that “knows what good looks like”, and it might end with us building the first alignment program for legal AI systems.

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Responsibilities
  • Drive Applied Research: Drive applied research into LLMs and agentic systems, rapidly prototyping, validating, and shipping production-ready capabilities.
  • Stay Ahead of the Curve: Stay hands-on with the latest advances in foundation models, LLM-as-a-judge, agentic frameworks & tools (e.g. MCP), and move fast to bring them into the product.
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