Lead AI Engineer
Location: New York, NY or San Francisco, CA
Job Type: Full-Time | On-Site
About the Role
We are looking for a Lead AI Engineer to build and scale next-generation AI agents and customer-facing AI products for enterprise customers. This is a high-ownership role for an experienced engineer who enjoys working in a fast-paced startup environment and solving complex, ambiguous problems.
You’ll have the opportunity to work closely with a highly experienced founding team, take ownership of technical decisions, and build AI solutions from 0-to-1 through production and scale.
What You'll Do
- Design, develop, and deploy production-grade AI agents and AI-powered applications.
- Build customer-facing AI products using modern LLMs and agentic AI frameworks.
- Develop end-to-end solutions across backend services, AI workflows, infrastructure, and user-facing applications.
- Work with LangChain, LangGraph, OpenAI, Anthropic, and other emerging AI technologies.
- Build scalable applications using Python and SQL/Postgres.
- Deploy and support applications using Docker, Kubernetes, and cloud platforms such as AWS, Azure, or GCP.
- Work closely with product and engineering teams to turn ambiguous business problems into practical AI solutions.
- Help improve the reliability, performance, monitoring, and scalability of production AI systems.
What We're Looking For
- 8+ years of professional experience building AI products or applications.
- SaaS startup / early-stage company experience is required.
- Proven track record of shipping customer-facing AI or Agentic AI products.
- Hands-on experience with LangChain and/or LangGraph.
- Strong Python and SQL/Postgres skills.
- Experience with OpenAI, Anthropic, or similar LLM platforms.
- Experience with cloud environments and production deployments.
- Familiarity with Docker and Kubernetes.
- Bachelor's degree in Computer Science or a related field.
- Strong problem-solving skills and the ability to work independently in an ambiguous, fast-moving environment.
Nice to Have
- Founding Engineer or early employee experience.
- Experience taking products from 0-to-1.
- Full-stack engineering experience.
- Experience with CrewAI, MCP, or other agent frameworks.
- LLM monitoring, evaluation, and observability experience.
- Experience training or fine-tuning AI/ML models.
- Experience working with enterprise or Fortune 500 customers.
If you’re excited about building production-grade AI agents and shaping the future of enterprise AI, we’d love to hear from you.