Lead AI Engineer (NYC)

American IT SystemsNew York City, NY
Onsite

About The Position

We're building the next generation of contract-intelligence software as a full-stack engineer in the Dioptra team at Icertis. You'll help bring to market the our vision of a contract operating system for the enterprise. As one of the early engineers on this newly integrated team, you'll: Report to Dioptra former CEO Collaborate with other engineers, product managers, and designers to architect, develop, and own our user-facing application. Use your full stack experience to design intelligent solutions that include back-end and front-end systems. Promote sound engineering practices and drive technical strategy and roadmaps. Help design and implement measurements of success for the team. Initiate, influence, and drive technical projects.

Requirements

  • 4+ years of experience building AI products
  • Comfortable working on challenging problems, in ambiguous, rapidly changing environments
  • Want to have a large impact on the business as an early member of the team
  • Using AI coding tools (cursor / codex) on a daily basis
  • Professional experience with Python, SQL, databases, CI/CD, git, agent frameworks like LangGraph / CrewAI / AutoGen
  • 8+ years of experience in building AI products in a professional setting.
  • Experience building AI applications/agents with frameworks (LangChain, LangGraph)
  • Proficient in Python and SQL/Postgres
  • Experience with OpenAI/Anthropic models
  • Exposure to deployments (Kubernetes, Docker) and cloud (AWS, Azure, GCP)
  • LLM monitoring

Nice To Haves

  • Experience working at a startup is a plus
  • Training models a plus

Responsibilities

  • Collaborate with other engineers, product managers, and designers to architect, develop, and own our user-facing application.
  • Use your full stack experience to design intelligent solutions that include back-end and front-end systems.
  • Promote sound engineering practices and drive technical strategy and roadmaps.
  • Help design and implement measurements of success for the team.
  • Initiate, influence, and drive technical projects.
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