Growth & Marketing
Clera · A well-funded, early-stage B2B SaaS startup building self-improv…
A well-funded, early-stage B2B SaaS startup building self-improving conversational agents that run product demos 24/7.
Clera is the employer — EngRadar is a job radar, not a recruiter. We track this posting from their own careers page and send you straight there; we never handle applications or CVs.
This is an end-to-end ownership role for the patient-facing AI conversation loop at a healthtech marketplace that helps patients access affordable international medical care. You will sit at the intersection of infrastructure and empathy, building robust agent systems that directly improve real patient outcomes on a small, senior team.
Diagnose why AI conversations with patients fail and ship code fixes to prevent recurrence.
Build and maintain agent infrastructure including tool integrations, evaluation frameworks, and retrieval systems.
Automate recurring manual workflows on the clinic side, eliminating toil through code.
Handle patient-facing situations with empathy when the AI falls short, turning those moments into product insights.
Own systems end-to-end with minimal oversight, making architectural and implementation decisions independently.
2+ years of demonstrated experience building and shipping LLM or agent systems end-to-end; professional experience, personal projects, research, or open-source all count equally.
Hands-on experience with agent infrastructure: evals, RAG/retrieval, and tool integrations.
Proficiency in Python or an equivalent systems programming language.
Strong computer science and mathematics fundamentals; elite academic signals such as top-tier university education, published research, or math competition experience are a strong plus.
A track record of diagnosing and fixing failures in production LLM or agent systems.
Automation instinct: you spot recurring manual workflows and proactively eliminate them through code.
Patient-facing warmth and empathy, with the ability to handle difficult conversations with care.
Comfort working with startup-level autonomy in a low-structure environment.
Familiarity with prompt engineering, fine-tuning, model evaluation, vector databases, or semantic search is a plus.
Experience with patient-facing or healthcare AI systems is a plus.
Existing US work authorization required; visa sponsorship is not available.
Salary range: $150,000 to $220,000 USD annually. Visa sponsorship is not available.
Full-time, on-site in San Francisco, California, five days per week.
Posted by Clera on their own careers page — you apply directly, no recruiter in between. View original / apply →
Clera · A well-funded, early-stage B2B SaaS startup building self-improv…
Clera · A well-funded, early-stage B2B SaaS startup building self-improv…
Clera · A well-funded, early-stage B2B SaaS startup building self-improv…
Clera · A well-funded, early-stage B2B SaaS startup building self-improv…