AI Engineer

About the role

You'll architect and ship autonomous and semi-autonomous agents that do real legal work end-to-end. That means designing how agents plan, use tools, remember context, recover from failure, and know when to hand off to a human. In a regulated domain, reliability, auditability, and safety are core to the job, not afterthoughts.

What you'll do

• Agent evals. This covers trajectory-level evaluation (did the agent take the right steps, not just produce the right answer), task success rates, tool-call accuracy
• Observability. You'll trace every agent decision, tool call, and handoff, keeping full audit trails suitable for legal accountability
• Safety and permissions. You'll scope tool access tightly, sandbox execution, defend against prompt injection from user uploads and web content
• Cost and latency. You'll handle model routing across frontier and open-source models, caching, and token budgets per matter

What you need

• 3–6 yrs of experience
• Machine learning
• Python
• LLMs
• AWS
• PostgreSQL
• GCP
• Any graduate

Good to have

• Playwright
• Prototyping
• Data privacy