Member of Technical Staff, Applied AI

• 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.

Hey, I’m Ben https://www.linkedin.com/in/benweems/, CTO at Finch. I’m hiring engineers who can (a) understand what needs to be built and why, (b) ship quality work fast, and (c) own the outcomes tied to measurable legal impact.

We have an exceptionally talented group of high-personality, collaborative engineers. Nothing matters more to me than keeping that true as we grow.

• High ownership and freedom to build. We give you a problem-space and lots of room to shape the product solution.
• Meaningful impact and a tight feedback loop. Your work supports real people through difficult moments in their life (i.e. personal injury cases), and you sit next to users.
• Applied AI work and room to experiment. We are building at the cutting edge of legal AI application.

If this sounds exciting, please apply.

This role is for technical team members who want ownership over outcomes - here's what we think that requires.

• 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.
• Experience designing practical evals and using them to understand agent behavior, compare approaches, and improve task-completion quality.
• Proficiency in Python and comfort working with React, LLM APIs, and agent frameworks.
• Strong instincts for agent design, including context construction, model selection, tool boundaries, structured outputs, failure recovery, and human handoffs.
• A track record of turning ambiguous, real-world workflows into simple, dependable systems.
• An experimental mindset: you move quickly, measure what matters, and care more about whether an agent completes the job correctly than whether the approach is clever.

• 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.
• You’re looking for a remote-first role. We work together in our NYC office four days a week.

• Intro: An initial conversation about your background, motivation, and the role.
• Technical interview: A practical, technical session with an engineer.
• Onsite: A visit to our NYC office to interview, meet the team, and have lunch.

We’re building the applied AI platform for consumer law.

Legal is the largest services market in the global economy, and consumer law drives tangible, customer outcomes. Our purpose-built platform combines AI agents and legal operators to reduce manual work, enabling firms to serve far more people and expand access to justice. 77% of Americans who'd benefit from a lawyer never get one and we’re broadening how technology impacts real life outcomes.

We’ve started with consumer law (a $120B+ market), and demand has come fast: more than 150 firms run on Finch; we're growing 1,000%+ year-over-year.

Finch was founded by a team of technologists and operators from backgrounds across scale-ups, legal operators, enterprise software, and financial institutions, and law firms. We’re backed by top VCs like Sequoia and Redpoint, and consistently looking to add top talent who wants to build in AI.

Explore life at Finch https://app.notion.com/p/Life-at-Finch-32fe7a322002810cabf6f9547800f2a2?source=copy_link for more.