Enterprise AI platform embedded in Fortune 500 contract lifecycle workflows
Lead AI Engineer
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You'll architect systems that extract meaning from dense legal agreements and turn obligations into trackable, actionable data. Morning standups might land on a Kubernetes deployment blocking production; by afternoon you're prototyping a Langchain pipeline to surface renewal risks six months early. This is full-stack work with teeth—Python services, PostgreSQL schemas, and JavaScript interfaces all serving models that lawyers and procurement teams actually trust.
What we're looking for
- 8+ years shipping production code, with substantial depth in Python and at least one of Java or JavaScript
- Demonstrated experience deploying and monitoring ML systems on cloud infrastructure (AWS, Azure, or GCP)
- Hands-on work with LLM orchestration tools and prompt engineering in regulated or high-stakes domains
- Solid grasp of containerization, CI/CD, and keeping distributed systems upright in production
- Comfort working on-site in New York or San Francisco with a team that still whiteboards architecture decisions
- Must be based in the United States.