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AI Agent Engineer
Harrison Clarke
San Francisco, USA
Full-time
Mid-Senior
Onsite
Discovered 3 weeks ago
AI agent developmentProduction software systemsAgentic architectures and workflowsTool useRetrieval-augmented generation (RAG)Agent harnesses
Role Overview
AI company building intelligent software systems for healthcare seeks an engineer experienced in shipping AI agents to production.
Compensation is stated as up to $250,000, depending on experience; no pay cadence is specified.
Key Skills for This Role
AI agent developmentProduction software systemsAgentic architectures and workflowsTool useRetrieval-augmented generation (RAG)Agent harnesses
Full Job Posting
Role overview
AI company building intelligent software systems for healthcare seeks an engineer experienced in shipping AI agents to production.
Compensation is stated as up to $250,000, depending on experience; no pay cadence is specified.
Location
- The description identifies San Francisco as the role location but does not specify an in-person, hybrid, or remote policy.
What you'll do
- Design, build, and ship AI agents and agentic workflows into production.
- Develop systems for agent reasoning, tool use, information retrieval, and complex task completion.
- Build and improve RAG systems, agent harnesses, and supporting infrastructure.
- Debug and evaluate agent behavior in real-world use cases; identify failure modes and improve reliability, accuracy, and consistency.
- Collaborate with product and engineering teams to make emerging AI capabilities production-ready.
- Develop evaluation and quality frameworks to assess agent performance and identify areas for improvement.
What the employer is looking for
- Strong software engineering fundamentals and experience building production systems.
- Demonstrated experience building and shipping AI agents into production.
- Practical understanding of agentic architectures, workflows, tool use, and RAG.
- Experience debugging, evaluating, and improving agent behavior; strong understanding of production AI limitations and failure modes.
- Ability to work in a fast-moving environment, experiment, iterate, and solve ambiguous problems.
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