Agent Deployment Engineer (Residency Program)
Technologies
Python · LLM prompting · RESTful APIs · databases · Flask · Django · Spring Boot
About Hippocratic AI
Builds non-diagnostic, patient-facing clinical AI agents on its Polaris LLM constellation, deployed by health systems, payors, and pharma for safe autonomous patient calls.
Series C
Job description
The full responsibilities and requirements are on the employer’s site.
Open application page ↗Source and classification
Internal deployment & tooling · Evidence for this classification:
Role Mission As HAI's Agent Deployment Engineer, you will own the conversation layer that enables our AI agents to have safe, autonomous clinical conversations with patients. You'll develop and refine the prompts and conversation logic that determine how millions of patients experience our breakthrough healthcare AI. This role exists because building truly autonomous clinical conversations requires both deep technical skill and relentless focus on patient experience—and we need someone who can master both. What You Will Accomplish Own your first major outcome: By day 90, you will have shipped improvements to at least two live conversation workflows, developed advanced prompts that meaningfully improve clinical safety scores or patient satisfaction metrics, collaborated with clinicians to translate their feedback into conversation logic, and shipped code that's now running in
More from the job description
Role Mission As HAI's Agent Deployment Engineer, you will own the conversation layer that enables our AI agents to have safe, autonomous clinical conversations with patients. You'll develop and refine the prompts and conversation logic that determine how millions of patients experience our breakthrough healthcare AI. This role exists because building truly autonomous clinical conversations requires both deep technical skill and relentless focus on patient experience—and we need someone who can master both. What You Will Accomplish Own your first major outcome: By day 90, you will have shipped improvements to at least two live conversation workflows, developed advanced prompts that meaningfully improve clinical safety scores or patient satisfaction metrics, collaborated with clinicians to translate their feedback into conversation logic, and shipped code that's now running in production healthcare environments. Drive lasting impact: Residents work with different leaders across the organization to gain exposure to multiple teams, including roles in Product Engineering, Deployment Engineering (FDE), and AI Engineering. The structure allows residents to explore and choose their career direction before potential conversion. The Team You'll work alongside software engineers, ML scientists, product managers, and clinical experts who are obsessed with getting conversation right. [... source excerpt omitted ...] st, values experimentation, and treats patient safety as non-negotiable. You'll have direct input into product decisions and the autonomy to innovate on conversation design. What You Will Do Develop advanced prompts for our conversation planning layer using sophisticated prompting techniques (chain-of-thought, few-shot learning, role-based prompting, structured outputs) to enable complex agentic workflows that handle real clinical scenarios Engineer conversation logic and patient interactions that balance clinical accuracy, safety guardrails, and patient experience—writing, testing, and iterating on prompts that make our agents feel natural and trustworthy Collaborate with cl [... source excerpt omitted ...] d patient experience across diverse clinical scenarios Maintain and improve our conversation codebase, ensuring prompts are version-controlled, documented, and deployed safely to production healthcare environments with proper testing and rollout procedures Location Requirement We believe the best ideas happen together. To support fast collaboration and a strong team culture, this role is expected to be in our Palo Alto office five days a week, unless otherwise specified. Basic Qualifications Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or a related technical field (or equivalent demonstrated coursework and professional projects) 2+ years
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