Mid/Senior Forward Deployed Engineer
Confirmed on the employer's own hiring board on Oct 14, 2026. First seen by Alion on Oct 9, 2026. Hippocratic AI scores B on the Alion truth index.
Join HAI as a Mid/Senior Forward Deployed Engineer, where you will be the technical owner of AI deployments that transform health systems. You will embed with customers to build, launch, and operate production conversational AI agents, impacting thousands of patient interactions. This role requires deep expertise in LLM techniques, experience with healthcare IT, and a strong background in software engineering.
Missions
- Assumer la responsabilité technique des déploiements d'IA, en intégrant les systèmes et en garantissant leur bon fonctionnement.
- Concevoir et mettre en œuvre des pipelines RAG qui ancrent les réponses de l'IA conversationnelle dans les données cliniques des clients.
- Exécuter des déploiements de bout en bout, y compris la configuration de l'infrastructure, les tests d'intégration, la configuration de la surveillance de la production.
Profil recherché
- 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
- Demonstrated experience building integrations with APIs, databases, or enterprise systems; comfort with async patterns, error handling, and reliability engineering
- 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
- 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