Senior Founding Engineer, Agent Systems
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What you'll do
- Design and implement the orchestration layer for multi-step agentic workflows across clinic operations and internal processes.
- Integrate external tools and APIs into agent systems with reliable tool calling and robust error handling.
- Build retrieval and evaluation infrastructure to measure and improve agent reliability and accuracy.
- Automate recurring manual work by identifying opportunities and shipping systems to eliminate them.
- Monitor agent performance in production and iterate on system design based on real-world behavior.
What they're looking for
- Strong CS fundamentals and mathematical abilities demonstrated through academic achievement, competition, or self-directed learning.
- Experience or strong project work with agent or LLM systems including orchestration, tool integrations, retrieval-augmented generation, or evaluation frameworks.
- Automations mindset with a track record of turning manual workflows into reliable, scalable systems.
- Open to recent graduates and self-taught builders; professional experience is welcome but not required.
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
About the Role
You will own the core agent infrastructure that powers AI systems, including the orchestration layer, tool integrations, retrieval, and evaluation that support patient-facing and internal workflows. This is a systems and infrastructure role focused on designing end-to-end agentic workflows and shipping reliable systems with ongoing monitoring and improvement.
What You'll Do
Design and implement the orchestration layer for multi-step agentic workflows across clinic operations and internal processes.
Integrate external tools and APIs into agent systems with reliable tool calling and robust error handling.
Build retrieval and evaluation infrastructure to measure and improve agent reliability and accuracy.
Automate recurring manual work by identifying opportunities and shipping systems to eliminate them.
Monitor agent performance in production and iterate on system design based on real-world behavior.
What We're Looking For
Strong CS fundamentals and mathematical abilities demonstrated through academic achievement, competition, or self-directed learning.
Experience or strong project work with agent or LLM systems including orchestration, tool integrations, retrieval-augmented generation, or evaluation frameworks.
Automations mindset with a track record of turning manual workflows into reliable, scalable systems.
Open to recent graduates and self-taught builders; professional experience is welcome but not required.
Compensation & Benefits
Base salary range: USD 150,000 to USD 220,000 annually. Meaningful equity and a supportive early-stage startup environment. Visa sponsorship not available.
Location
On-site, primary location in San Francisco, California, United States. The role is full-time and requires in-person work five days per week.
Company
Company facts come from this company's own listings. We only show what the postings themselves carry.