AI Engineer
About the role
Stilta is building agentic AI for intellectual property. The AI Engineer will own the AI core of the product, including multi-agent reasoning pipelines, retrieval over vast patent/literature corpora, and evaluation systems to produce practitioner-grade outputs.
Responsibilities
- Build and improve the multi-agent architecture powering invalidity search, infringement analysis, freedom to operate research, and more
- Own the full lifecycle of features - from talking to customers about what they need to watching them use it in production
- Push code to production daily. Your code reaches users in hours or days, not weeks
- Build retrieval, reasoning, and evaluation systems that run autonomously over millions of documents with reliable source-backed results
- Set the standards for how we build, evaluate, and ship AI systems as the team scales
Qualifications
- Exceptional matters more than experienced - we care about what you can do, not how long you've been doing it
- Strong engineering fundamentals and opinionated about product
- You write software with and for AI agents, and have shipped agentic systems to production before - you know how to make LLMs reliable through context engineering, retrieval, and evals
- You can take an AI capability from sketch to production single-handedly - write the specs, design the evals, wire the agent pipeline, deploy it
- Comfortable across Python and TypeScript, and you've worked with enough infrastructure - vector databases, distributed compute, cloud orchestration - that none of it slows you down
- Experience navigating enterprise requirements - SOC 2, data residency, access controls - is a plus
Skills
Benefits
- Competitive Salary + Equity
- Unlimited Claude Code - experiment with AI-assisted workflows, prototypes, and automations from day one
- A front row seat - you will be shaping the foundation of our business
About Stilta
Agentic AI for intellectual property
Stilta builds agentic AI software for intellectual property, starting with patent litigation. Whether challenging or enforcing a patent, leading IP law firms and in-house IP teams use Stilta for source-backed, auditable analysis. Innovation drives the world's most important breakthroughs, but the tools that protect it haven't kept pace. Patent attorneys do high-stakes work with a process still built on manual document review and disconnected point solutions. Generative AI helps with drafting, but it doesn't deliver the trust and transparency that legal-grade work demands - no sources, no traceability, no audit trail. Stilta takes a different approach. We use agentic AI to run search and analysis at a scale manual methods can't match, with every output source-backed, referenced, and auditable. Until recently, this wasn't technically possible. We're four engineers from McKinsey/QuantumBlack who built and deployed AI systems at some of the world's largest organizations. With Stilta, we're equipping the people who protect the world's most valuable ideas with tools that match the stakes.
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