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

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

📋 Description

• Take full responsibility for AI deployments from start to finish for clients in the healthcare sector.

• Create and implement RAG pipelines based on client clinical data.

• Construct architectures for tool-calling and Model Context Protocol (MCP) that integrate agents with EHRs, data warehouses, and operational tools.

• Produce production-ready Python code utilizing LangChain, LangSmith, and contemporary AI frameworks.

• Utilize advanced LLM techniques including retrieval-augmented generation (RAG), prompt engineering, LLM-as-judge, and chain-of-thought reasoning.

• Carry out infrastructure setup, integration testing, production monitoring configuration, cutover planning, and go-live activities.

• Equip deployed agents with instrumentation, oversee production systems, address incidents, diagnose issues, and apply solutions.

• Collaborate with customers as a technical authority, elucidating AI architecture, capabilities, and limitations.

• Develop reusable AI patterns and frameworks while providing evidence of operational and clinical effectiveness.

⛳️ Requirements

• A Bachelor’s degree in Computer Science, Software Engineering, or a related technical discipline.

• More than 3 years of professional experience in software engineering.

• Proficient in Python fundamentals with experience in production software development.

• Practical experience with LLM frameworks like LangChain and LangSmith, or equivalent.

• Comprehensive knowledge of contemporary LLM development practices and patterns.

• Proficiency in retrieval-augmented generation (RAG), prompt engineering, tool calling, LLM-as-judge, and similar advanced methodologies.

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

• Familiarity with asynchronous patterns, error handling, and reliability engineering.

• Preferred: experience with Model Context Protocol (MCP) or comparable 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 in deploying AI systems or working with LLMs in a production environment.

• Preferred: background in mission-critical or safety-sensitive systems.

• Preferred: experience in a startup or high-growth technology setting.

• The role must be based in one of the eligible states in the United States; please note that Alaska, Connecticut, Delaware, North Dakota, West Virginia, New Mexico, and Hawaii are excluded.

🏝️ Benefits

• Competitive base salary.

• Valuable stock options.

• 25–40% travel.

• Direct access to product, ML research, and engineering leadership.

• Equal opportunity employer.

• Accommodations available during the hiring process.