Agent Engineer

Getclera; San Francisco (CA); On-site; USD 150,000 - 200,000; Full time

Job summary

Getclera is seeking a systems engineer to own the core agent infrastructure powering AI systems — the orchestration layer, tool integrations, retrieval, and evals that run our operations.

This is a hands-on, in-person role at our San Francisco headquarters, focused on creating reliable agent systems and improving them with monitoring and real-world data. Recent graduates and self-taught builders are welcome; no professional experience is required.

Qualifications

• Proven ability to design and build scalable agent systems.
• Experience with LLM orchestration, tool integrations, or RAG.
• Strong problem-solving and system-thinking skills.
• Recent graduates welcome.

Responsibilities

• Design and implement the orchestration layer for multi-step agentic workflows across operations.
• Integrate external tools and APIs into agent systems with reliable error handling.
• Build retrieval and evaluation infrastructure to measure agent reliability.
• Automate recurring manual work and ship systems to eliminate them.
• Monitor production performance and iterate on design.

Skills

Strong math

CS fundamentals

Self-directed learning

Open-source projects

Job description

About the Role

You'll build and own the core agent infrastructure powering Doctours' AI systems - the orchestration layer, tool integrations, retrieval, and evals that run our patient-facing and internal agents. This is a systems and infrastructure role focused on designing agentic workflows that automate clinic-side and internal operations end-to-end, distinct from live conversation AI work. You'll ship reliable agent systems and continuously improve them through monitoring and evaluation.

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, ensuring reliable tool calling and 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 math and CS fundamentals, demonstrated through elite academic performance, competition experience, or fast self-directed learning.
• Personal projects, research, or open-source work building agent or LLM systems—orchestration, tool integrations, RAG, or evals all count as strong evidence.
• An automation instinct: you spot recurring manual work and naturally think in systems.
• No professional experience required; recent graduates and self-taught builders are welcome.

Compensation & Benefits

$150, 000-$200, 000 base salary + meaningful equity.

Location

Full-time, in-person at our San Francisco headquarters, five days per week.