Forward Deployment Engineer

Summary

Hippocratic AI is on a mission to bring abundant, superhuman healthcare access to everyone through safety-focused AI. As a Forward Deployment Engineer, you will be embedded with customers to translate clinical complexity into effective AI systems, ensuring they work seamlessly in live healthcare workflows.

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

Skills

• 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
• 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

Qualifications

Must Haves

• 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

Nice to Haves

• 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

Benefits

• You'll work alongside exceptional people. Our team brings together top AI researchers, clinical experts, and engineers who've built at the highest levels.
• Equity upside at an inflection point. We're early, we're well-funded, and the trajectory is steep. Joining now means joining with meaningful ownership in what comes next.