Finch Legal Member of Technical Staff, Applied AI at Finch Legal builds AI agents to automate personal injury case workflows. The role involves designing agent systems, optimizing performance, and shipping improvements rapidly.
Responsibilities
Personal injury law is full of repetitive tasks, paper-based bottlenecks, and fragmented data. As a Member of Technical Staff, Applied AI, you’ll build agents that move cases forward and make those workflows dependable. You’ll own critical features end-to-end, ship fast, and work directly alongside strategy & operations, product, design, and legal teammates in a codebase where your decisions matter from day one.
Build production-grade voice, browser, document, and workflow agents that move personal injury cases forward.
Design long-horizon agent systems, including context, tools, memory, permissions, structured outputs, and human-in-the-loop controls.
Own the eval flywheel: turn real cases and operator feedback into benchmarks that continuously improve agent quality.
Optimize performance through model selection and routing, context engineering, prompting, tool design, and agent observability.
Make agents reliable across calls, documents, communications, and third-party portals, including when systems fail or case information changes.
Evaluate advances in agentic AI and rapidly ship the ones that improve quality, speed, or cost.
What will make you successful
This role is for technical team members who want ownership over outcomes - here's what we think that requires.
You’ll likely thrive if you have
2+ years of experience building reliable, secure software in production, with the ability to own systems across the stack.
Experience shipping AI-powered products or agents beyond the prototype stage.
Qualification
Experience building voice agentsFamiliarity with DjangoExperience building evaluation systemsFamiliarity with legal techThis role may not be for you ifYou prefer a role where the roadmap
Required
2+ years of experience building reliable, secure software in production
Preferred
Experience with Pydantic AI or another production agent framework.
Experience building voice agents, browser agents, or long-running workflow agents.
Familiarity with Django, React, Temporal, Playwright, or AWS.
Experience building evaluation systems, agent observability, model routing, or human-in-the-loop review tools.
Familiarity with legal tech, healthcare workflows, document processing, or other operationally complex domains.
This role may not be for you if
You prefer a role where the roadmap, process, and success metrics are already defined.
You are looking for a narrow remit rather than meaningful ownership across a fast-moving team.