Forward Deployment Engineer

About the role

The Opportunity
Hippocratic AI is on a mission to bring abundant, superhuman healthcare access to everyone — and we're building the safety-focused AI to make that real. As a Forward Deployment Engineer, you won't be watching that mission from the sidelines. You'll be the person who makes it land — embedded with customers, translating clinical complexity into AI systems that actually work in the wild. This is a rare hybrid role: part builder, part operator, part technical consultant. You'll be based in our HQ in Menlo Park, CA, but travel to customer sites, earn the trust of clinical and technical stakeholders, and ship production-grade AI into live healthcare workflows. If you thrive on ambiguity, move fast, and care deeply about the outcomes your work creates, this is the role you've been looking for.

Responsibilities

• Scope and architect AI solutions for ambiguous, high-stakes clinical problems — from first conversation to production spec
• Build and deploy RAG pipelines, multi-agent workflows, and real-time conversational AI systems integrated into live clinical environments
• Ensure interoperability with healthcare data standards and platforms (EHR systems, FHIR, HL7)
• Own system monitoring, performance tuning, and iterative improvement post-deployment
• Partner cross-functionally with product, AI research, and clinical safety teams to surface field insights and close feedback loops
• Navigate complex stakeholder environments — clinical, operational, and technical — with clarity and credibility
• When needed, travel to customer sites and serve as Hippocratic AI's embedded technical presence across the full deployment lifecycle

Qualifications

• Bachelor's degree in Engineering, Computer Science, or a related technical field from a Tier-1 university
• 0-2+ years of hands-on software engineering experience, with production deployments you can speak to in depth
• Demonstrated experience building with LLMs — RAG architectures, prompt engineering, agent frameworks, or fine-tuning
• Proficiency in Python and comfort working across the full stack when the situation demands it
• Experience integrating with APIs, data pipelines, and cloud infrastructure (AWS, GCP, or Azure)
• Strong communication skills — you can explain a technical architecture to an engineer and a clinical director in the same afternoon

Preferred Qualifications

• Experience in healthcare technology, digital health, or clinical environments
• Familiarity with healthcare data standards: FHIR, HL7, EHR integrations
• Exposure to voice AI systems or real-time conversational platforms
• Experience in a customer-facing engineering, solutions engineering, or forward deployment role
• Comfort operating in early-stage, high-ambiguity environments where the playbook is still being written