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Principal AI Engineer

Job in Oakland, Alameda County, California, 94616, USA
Listing for: Harnham
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

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
Company Overview

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 Overview

As 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.
Skills & Experience
  • 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.
Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Health and Human Services and Retail Health and Personal Care Products

Benefits
  • Medical insurance
  • Vision insurance
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