Flank is the leading Agentic AI platform for in-house legal teams. We're seeking an experienced AI Engineer to drive our applied AI initiatives.

Requirements

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.
Demonstrated Experience: A strong track record of leading and delivering cutting-edge AI initiatives that have driven meaningful product and business impact.
Technical Expertise: Strong programming skills in Python (and familiarity with TypeScript/Go a plus). Experience with deep learning frameworks (PyTorch, TensorFlow, Hugging Face).
Thought Leadership: Ph.D. or Master’s in Computer Science, Machine Learning, or a related field from a leading academic institution.
Cross-Functional Collaboration: Proven ability to build strong partnerships across product, engineering, and research teams to drive innovation.

Benefits

Competitive, Benchmarked Salary
High Standards Culture: Join a team that demands excellence and accountability through direct and candid communication.
Empowered Environment: Operate in a high-agency culture where you can lead yourself and make a real impact.
Global Team: Remote-first, collaborate with a diverse, talented team across the globe.

Flank is the leading Agentic AI platform for in-house legal teams. We're seeking an experienced AI Engineer to drive our applied AI initiatives.

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.
Demonstrated Experience: A strong track record of leading and delivering cutting-edge AI initiatives that have driven meaningful product and business impact.
Technical Expertise: Strong programming skills in Python (and familiarity with TypeScript/Go a plus). Experience with deep learning frameworks (PyTorch, TensorFlow, Hugging Face).
Thought Leadership: Ph.D. or Master’s in Computer Science, Machine Learning, or a related field from a leading academic institution.
Cross-Functional Collaboration: Proven ability to build strong partnerships across product, engineering, and research teams to drive innovation.

Competitive, Benchmarked Salary
High Standards Culture: Join a team that demands excellence and accountability through direct and candid communication.
Empowered Environment: Operate in a high-agency culture where you can lead yourself and make a real impact.
Global Team: Remote-first, collaborate with a diverse, talented team across the globe.