Forward Deployed Engineer

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ Engineer

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Hippocratic AI

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2023

🤖 Artificial Intelligence

⚕️ Healthcare Insurance

🏥 Healthcare

💰 $50M Seed Round on 2023-05

Artificial Intelligence • Healthcare Insurance • Healthcare

Hippocratic AI is an innovative healthcare technology company that specializes in artificial intelligence-driven solutions designed to improve patient care and clinical decision-making. Their products leverage advanced data analysis and machine learning to support healthcare providers, enhancing efficiency and accuracy in medical practices. By integrating cutting-edge AI technology into healthcare processes, Hippocratic AI aims to revolutionize the medical field, ultimately improving outcomes for patients and practitioners alike.

📋 Description

• Own end-to-end AI deployments for healthcare customers • Design and implement RAG pipelines grounded in customer clinical data • Build tool-calling and Model Context Protocol (MCP) integrations with EHRs, data warehouses, and operational tools • Develop production Python code using LangChain, LangSmith, and modern AI frameworks • Apply advanced LLM techniques including RAG, prompt engineering, LLM-as-judge, and chain-of-thought reasoning • Execute infrastructure setup, integration testing, production monitoring configuration, cutover planning, and go-live activities • Instrument deployed agents, monitor production systems, respond to incidents, troubleshoot issues, and implement fixes • Partner with customers as a technical expert and explain AI architecture, capabilities, and limitations • Build reusable AI patterns and frameworks for future deployments • Generate evidence that deployed agents improve operational reliability and clinical outcomes • Collaborate with Deployment Strategists, engineers, clinical experts, product, ML research, and engineering leadership

🎯 Requirements

• Bachelor's degree in Computer Science, Software Engineering, or a related technical field • 3+ years of professional software engineering experience • Strong Python fundamentals and production software development experience • Hands-on experience with LLM frameworks such as LangChain and LangSmith, or similar • Deep understanding of modern LLM development patterns and best practices • Deep expertise in retrieval-augmented generation (RAG), prompt engineering, tool calling, LLM-as-judge, and related advanced patterns • Experience building integrations with APIs, databases, or enterprise systems • Comfort with async patterns, error handling, and reliability engineering • Willingness to travel approximately 25% of the time to customer sites across the United States • Ability to travel to the Menlo Park headquarters quarterly • Legally authorized to work in the United States • Preferred: Experience with MCP or similar frameworks, healthcare IT and EHR integrations, FHIR, HL7, production DevOps or infrastructure, AI systems in production, mission-critical or safety-sensitive systems, and startup or high-growth technology environments

🏖️ Benefits

• Competitive base salary • Valuable stock options • Comprehensive compensation package • Quarterly travel to Menlo Park headquarters