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Design and build clinical-grade automated evaluation pipelines (LLM-as-judge + human review), define benchmarks, run rigorous experiments, partner with engineering to implement CI gates for accuracy, factuality, and safety, and publish findings to improve model robustness and reduce hallucinations.

Build and scale core research infrastructure and agentic systems across backend, frontend, and model integrations. Own reliability, observability, and performance; ship research-proven features to production rapidly and develop shared tools and SDKs to accelerate Research, QA, and Engineering.

Design and build end-to-end sourcing infrastructure and automated outbound workflows, ship LLM-powered candidate evaluation and messaging tools, integrate ATS and enrichment data, run weekly sourcing experiments, and close the loop from outreach to hire to achieve scalable, repeatable technical hiring.

Design scalable systems and playbooks to turn traction into repeatable execution. Partner with product and engineering to translate clinician pain into workflows, shape AI agent behavior to clinical quality standards, and iterate rapidly with customer feedback.

Lead the technical product roadmap for clinical AI products: define goals, metrics, and technical requirements; partner with engineering, ML, and design; document architecture and specs; synthesize customer workflows; make tradeoffs; and ship infrastructure or agentic workflow upgrades improving latency, accuracy, and reliability.

Lead strategy, design, and execution of platform integrations connecting Sully.ai's AI clinicians to EHRs and partner APIs. Build and scale the integrations team, ensure HIPAA-compliant, secure, and reliable connectors, ship SDKs and CI/CD/observability standards, and deliver production EHR connectors while partnering with Product, Clinical, Security, and Customer Success.

The Head of Engineering, Platform will manage the engineering execution from architecture to delivery, focusing on improving AI workflows and team efficiency, while ensuring quality and reliability.