Enterprise AI platform embedded in Fortune 500 contract lifecycle workflows

Lead AI Engineer

New YorkOn-site$175K - $300K8+ years
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.

Tech stack

PythonPostgreSQLKubernetesDockerAWSAzureGCPOpenAI

Apply for this role

This role is one we're recruiting for on behalf of a client company; the client's identity is kept confidential at this stage. A Fluency recruiter will follow up with details.