Forward Deployed Engineer – Mid/Senior, Remote w/Travel

Hippocratic AI

. Own end-to-end AI deployments for healthcare customers .

Posted 9/30/2026full-timeRemote • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI deployment for healthcare, with a strong foundation in Python programming and advanced LLM techniques. Capable of building integrations with EHRs and operational tools while ensuring system reliability and performance.

Highest-signal resume keywords

Python ProgrammingLangChain FrameworkRetrieval-Augmented Generation (RAG)EHR IntegrationProduction Software Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringAdvanced LLM TechniquesPrompt EngineeringTool CallingModel Context Protocol (MCP)Integration with APIsAsynchronous PatternsError HandlingReliability EngineeringProduction Monitoring

Soft Skills

Technical ExpertiseCustomer PartnershipIncident Response

Tools & Technologies

LangSmithAI FrameworksData WarehousesOperational Tools

Certifications & Qualifications

Bachelor's Degree in Computer ScienceBachelor's Degree in Software Engineering

Industry Keywords

Healthcare ITEHR IntegrationsFHIRHL7Healthcare Data Standards

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

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) architectures integrating agents 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 and generate evidence of operational and clinical impact

Requirements

What you’ll need

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
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 asynchronous patterns, error handling, and reliability engineering
Preferred: experience with Model Context Protocol (MCP) or similar frameworks
Preferred: healthcare IT experience, including EHR integrations, FHIR, HL7, or healthcare data standards
Preferred: production DevOps or infrastructure experience with monitoring, alerting, logging, and incident response
Preferred: experience deploying AI systems or working with LLMs in production
Preferred: experience in mission-critical or safety-sensitive systems
Preferred: startup or high-growth technology background
Role must be based in one of the eligible United States states; Alaska, Connecticut, Delaware, North Dakota, West Virginia, New Mexico, and Hawaii are excluded

Benefits

Comp & perks

Competitive base salary
Valuable stock options
25–40% travel
Direct access to product, ML research, and engineering leadership
Equal opportunity employer
Hiring-process accommodations available