Forward Deployment Engineer; Minneapolis, MN
Job in
Minneapolis, Hennepin County, Minnesota, 55400, USA
Listed on 2026-07-13
Listing for:
Dormont Manufacturing Co
Full Time
position Listed on 2026-07-13
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Job Description & How to Apply Below
About the Role
We are seeking a Forward Deployment Engineer to operate at the intersection of AI systems, healthcare data, and real‑world deployment. In this role, you will be deployed onsite at a customer location, serving as Hippocratic AI’s embedded technical presence. This is not a traditional engineering role. You will act as a builder, operator, and technical consultant, working directly with customers on‑site to design and deploy AI systems into live clinical workflows.
You will take ambiguous, high‑impact problems and turn them into production‑grade AI solutions powered by LLMs, voice systems, and interoperable data platforms.
- Serve as the technical point of contact for healthcare customers
- Translate ambiguous problems into scalable solutions
- Build and deploy AI systems, including RAG pipelines and multi‑agent workflows
- Develop real‑time conversational AI systems
- Work with HL7 v2, FHIR, REST APIs, and X12
- Build pipelines using Python and SQL
- Own full lifecycle from design to monitoring
- Troubleshoot production issues
- Work with product, AI research, and clinical teams
- This is an onsite role based in Minneapolis, MN, with five days per week at the client site and occasional travel to Hippocratic AI headquarters (Palo Alto, CA) for strategic planning and team sessions.
Must Have:
- 3+ years in software engineering, AI/ML, or data integration
- Strong Python skills
- Experience with AI/ML systems in production
- Willingness to be deployed onsite at customer locations for extended periods
Nice-to-Have:
- HL7, FHIR, REST APIs experience
- Epic/Cerner experience
- LLMs, RAG, prompt engineering
- Voice AI exposure
- Cloud + Dev Ops knowledge
- Deploy AI into real healthcare environments
- Own problems end‑to‑end
- Work directly with customers onsite as an embedded engineer
- Impact real patient outcomes
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