Forward Deployed Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of the technical execution for AI deployments.

• Collaborate closely with Deployment Strategists and clients to develop production systems tailored for healthcare operations.

• Recognize customer challenges and create AI solutions utilizing RAG, tool calling, LLM-as-judge, and other sophisticated LLM methodologies.

• Design and establish retrieval-augmented generation pipelines based on customer data.

• Implement tool-calling architectures and Model Context Protocol (MCP) connections to customer systems.

• Develop production-level Python code using LangChain, LangSmith, and contemporary AI frameworks.

• Set up secure, monitored production environments and oversee deployment and go-live processes.

• Monitor deployed systems, address incidents, resolve customer issues, and apply necessary fixes.

• Create dependable integrations with EHRs, data warehouses, operational tools, APIs, databases, and enterprise systems.

• Articulate AI system architecture to clients, collaboratively debug issues, and enhance operational reliability.

⛳️ Requirements

• 3–5 years of experience in software engineering with a strong foundation in Python and production software development.

• Practical experience with LLM frameworks such as LangChain and LangSmith.

• Profound understanding of RAG, prompt engineering, tool calling, LLM-as-judge, and associated LLM development patterns.

• Experience in creating integrations with APIs, databases, or enterprise systems.

• Proficiency with asynchronous patterns and error handling.

• Bachelor's degree in Computer Science or a related discipline from a highly regarded university.

• Familiarity with Model Context Protocol (MCP) or similar tool-integration methodologies.

• Background in healthcare IT, including EHR integrations, FHIR, HL7, or healthcare data standards.

• Experience in production DevOps or infrastructure roles, including monitoring and incident response.

• Proven track record of deploying AI systems or working with LLMs in a production environment.

• Willingness to travel 25% of the time to client locations.

• Legal authorization to work in the United States.

• Recruitment communications must originate from @hippocraticai.com email addresses; the company will never request payment or sensitive personal information during the hiring process.

🏝️ Benefits

• Opportunity to innovate in AI-driven healthcare.

• Collaborate with top-tier AI engineers and clinical experts.

• Access to state-of-the-art conversational AI and healthcare technology.

• Opportunity to enhance AI expertise.

• Supported by significant funding and resources for innovation.