Senior Founding Engineer - AI Agent Infrastructure (Equity)

Clera; San Francisco (CA); On-site; USD 150,000 - 220,000; Full time

Benefits offered by this job

Equity

Visa sponsorship not available

Job summary

Clera in San Francisco, CA, is seeking a systems engineer to own the core agent infrastructure powering AI workflows. You will design end-to-end agent orchestration, tool integrations, retrieval, and evaluation to support patient-facing and internal processes.

This role emphasizes building reliable, monitored systems, shipping scalable solutions, and continuously improving performance based on real-world data.

Qualifications

• Strong CS fundamentals demonstrated via academic achievement, competition, or self-learning.
• Experience with agent/LLM systems including orchestration, tool integrations, retrieval-augmented generation, or evaluation frameworks.
• Automation mindset with a track record of turning manual workflows into reliable, scalable systems.
• Open to recent graduates; professional experience is welcome but not required.

Responsibilities

• 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.

Skills

CS fundamentals

Agent/LLM systems

Orchestration

Tool integrations

Retrieval-augmented generation

Evaluation frameworks

Automation mindset

Open to recent graduates

Job description

Clera in San Francisco, CA, is seeking a systems engineer to own the core agent infrastructure powering AI workflows. You will design end-to-end agent orchestration, tool integrations, retrieval, and evaluation to support patient-facing and internal processes.

This role emphasizes building reliable, monitored systems, shipping scalable solutions, and continuously improving performance based on real-world data.