Forward Deployed Engineer (Mid/Senior)

Join our team as a Forward Deployed Engineer, where you'll work closely with Deployment Strategists, engineers, and clinical experts. You'll have high technical ownership and autonomy in the field, with direct access to our product, ML research, and engineering leadership. Your responsibilities will include designing and implementing RAG pipelines, building tool-calling and Model Context Protocol architectures, developing production Python code, executing end-to-end deployments, monitoring and owning production systems, and partnering with customers as a technical expert. Candidates should have hands-on experience with LLM frameworks, 3+ years of professional software engineering experience, and a bachelor's degree in a related technical field.

• Design and implement RAG pipelines that ground conversational AI responses in customer clinical data, ensuring accuracy, safety, and relevance to healthcare workflows.
• Build tool-calling and Model Context Protocol (MCP) architectures that enable AI agents to interact securely with customer systems—EHRs, data warehouses, and operational tools.
• Develop production Python code using LangChain, LangSmith, and modern AI frameworks to implement advanced LLM techniques (RAG, prompt engineering, LLM-as-judge).

• Hands-on experience with LLM frameworks (LangChain, LangSmith, or similar) and deep understanding of modern LLM development patterns and best practices
• 3+ years of professional software engineering experience with strong Python fundamentals and production software development experience
• Demonstrated experience building integrations with APIs, databases, or enterprise systems; comfort with async patterns, error handling, and reliability engineering
• Bachelor's degree in Computer Science, Software Engineering, or a related technical field
• Deep expertise in LLM techniques including retrieval-augmented generation (RAG), prompt engineering, tool calling, LLM-as-judge, and related advanced patterns
• Experience with Model Context Protocol (MCP) or similar frameworks for tool integration and multi-system orchestration
• Healthcare IT experience, including EHR integrations (Epic, Cerner, Athena), FHIR, HL7, or healthcare data standards
• Production DevOps or infrastructure experience, including setting up monitoring, alerting, logging, and incident response systems
• Track record deploying AI systems or working with LLMs in production environments, managing latency, reliability, and operational complexity
• Experience in mission-critical or safety-sensitive systems where reliability and error handling are non-negotiable
• Startup or high-growth technology background, particularly in technical leadership or ownership roles