Forward Deployment Engineer (Residency Program)

Work with the people shaping the future. Hippocratic AI was co‑founded by CEO Munjal Shah and a team of physicians, hospital leaders, AI pioneers, and researchers from institutions like El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA.

As HAI's Forward Deployed Engineer (FDE) Resident, you will own the delivery of safe, autonomous clinical conversations with patients, from the conversation layer to the integration design. You'll develop and refine the prompts and conversation logic that determine how millions of patients experience our breakthrough healthcare AI. And you’ll architect the transports and mapping s to get data in and out of these conversations. 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'll 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
• Design and build the integrations that connect our conversational agents to customer EHRs, scheduling systems, and telephony platforms—turning HL7/FHIR feeds and REST/webhook APIs into the real-time signals that shape every conversation
• Collaborate with clinicians, product managers, and engineers to translate clinical requirements into conversation designs, conduct user testing with healthcare professionals, and iterate based on feedback from real-world usage
• Conduct rigorous experiments and analysis on model outputs, prompt variations, and conversation strategies—measuring impact on clinical safety scores, patient satisfaction, task completion rates, and other key metrics
• Use advanced prompting techniques including retrieval augmentation, tool calling, conditional logic, and multi-turn conversation management to optimize model performance and patient experience across diverse clinical scenarios

Full details and application on the official Hippocratic AI careers page.