Senior Agentic AI Engineer - Enterprise AI Agents

Harnham

San Francisco (CA)

Hybrid

USD 180,000 - 261,000

Full time

14 hours ago
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Job summary

Agentic AI in the Bay Area is seeking a Senior AI Product Engineer to design and ship production-grade agentic AI systems that customers use to automate compliance workflows.

You will own the agent lifecycle, collaborate with product and design, and work with Python/TypeScript while leveraging LLMs and RAG to solve complex enterprise problems. This hybrid role offers significant ownership and career growth within a fast-moving AI platform.

Qualifications

  • Production experience shipping customer-facing AI agents.
  • Strong software engineering foundations (backend or full-stack).
  • Proficiency in Python and/or TypeScript.
  • Experience with LLMs, RAG, agentic workflows, and evaluation frameworks.
  • Ability to own projects from idea through deployment and scale.
  • Startup mentality with speed, execution, and customer impact.

Responsibilities

  • Design, build, and ship production-grade agentic AI systems used directly by customers.
  • Own the full agent lifecycle — prompting, orchestration, evaluation, debugging, iteration, and optimization.
  • Build end-to-end solutions across Python and/or TypeScript, collaborating with Product and Design partners.
  • Create intelligent workflows leveraging LLMs, RAG, and agent frameworks to solve complex customer problems.
  • Develop evaluation frameworks and feedback loops to ensure reliability, quality, and measurable business impact.
  • Help shape the technical direction of AI across the wider platform.

Skills

Python
TypeScript
LLMs
RAG
Agentic workflows
Backend

Tools

LangChain
LangGraph
Bedrock
OpenAI
Anthropic

Job description

Agentic AI in the Bay Area is seeking a Senior AI Product Engineer to design and ship production-grade agentic AI systems that customers use to automate compliance workflows.

You will own the agent lifecycle, collaborate with product and design, and work with Python/TypeScript while leveraging LLMs and RAG to solve complex enterprise problems. This hybrid role offers significant ownership and career growth within a fast-moving AI platform.

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