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Accountabilities:

  • Work side by side with clients, PMs, and Architects to scope and deploy AI systems that actually solve problems.
  • Build and integrate systems using LLMs, RAG pipelines, agent frameworks, vector databases, and related tools.
  • Navigate real-world challenges: data access, authentication, security, networking, and brittle enterprise environments.

Requirements:

  • 5+ years of engineering experience, with proven work shipping AI/ML systems into production.
  • Strong Python skills and deep familiarity with modern AI/ML frameworks (LangChain, LlamaIndex, Hugging Face, vector databases).
  • Hands-on with cloud deployment, orchestration, CI/CD, and distributed environments (AWS, Azure, GCP).

Benefits:

  • Ship AI systems that don’t just demo well but run at scale in Fortune 500 enterprises.
  • Stay hands-on with cutting-edge frameworks while developing field-tested instincts.
  • Solve problems across industries, from finance to healthcare to defense.

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