Principal AI Engineer
Listed on 2026-02-16
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IT/Tech
AI Engineer, Machine Learning/ ML Engineer
This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Principal/Founding AI Engineer specializing in Agentic GenAI & Medical Data Base pay range$/yr - $/yr
Additional compensation types- RSUs
- Direct message the job poster from Harnham
Join a rapidly growing medical-tech startup, backed by $75M+ in funding, building a 3-sided marketplace transforming how healthcare connects, transacts, and personalizes patient experiences. We’re a product-led, remote-friendly team with engineering and commercial operations in the US and Croatia.
Role OverviewAs a Senior Software Engineer, you’ll architect and develop agentic GenAI workflows leveraging Python, Django, and cutting-edge AI/ML tools. You will be responsible for designing internal platforms built on sensitive medical datasets, deploying market-facing solutions, and collaborating closely with commercial and AI teams to iterate rapidly.
Key Responsibilities- Build agentic GenAI workflows using proprietary and medical datasets.
- Lead GenAI & workflow orchestration for healthcare data and knowledge management.
- Develop and optimize marketing technology: email delivery, user engagement, personalization solutions, and growth engineering initiatives.
- Prototype, productize, and validate commercial AI models—understand and model clinician behavior, prescription workflows, and intelligent decision systems.
- Write production code for backend (Python/Django), ensure robust system architecture, and lead technical implementation cycles.
- Partner with cross-functional teams across the US and Croatia to deliver rapid, validated product iterations.
- Proven backend expertise:
Python and Django in production environments. - Cloud/infrastructure: AWS (deploying, scaling, monitoring).
- Databases:
Postgre
SQL; ability to optimize for large medical/structured datasets. - AI/ML:
Experience with OpenAI and agent knowledge systems strongly preferred. Track record training or managing AI agents a plus. - Nice-to-have:
Direct experience handling medical/healthcare data. - Scalability:
Experience architecting knowledge systems with large-volume data indexing, not high-throughput but focused on effective information retrieval.
Mid-Senior level
Employment typeFull-time
Job functionHealth and Human Services and Retail Health and Personal Care Products
Benefits- Medical insurance
- Vision insurance
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