Doctronic
Senior AI Engineer
$200K–$300K
New York City +1 · Hybrid · Senior · Full-time · Posted Jul 17, 2026
- Location
- New York City
San Francisco - Experience
- Typically, 3+ years of highly relevant applied or research AI/ML experience with an advanced degree, or 7+ years of relevant experience building and researching ML systems, including recent hands-on work with LLMs and generative AI.
- Education
- Typically an advanced degree in a quantitative, computational, or scientific discipline; the posting emphasizes depth of work over a specific credential.
About the job
Build and improve Doctronic’s clinical AI systems, from agentic reasoning and model learning to evaluation and medical evidence retrieval.
What you'll do
- Design clinical reasoning architectures with agent collaboration, tool use, verification, uncertainty handling, and escalation.
- Develop evaluation platforms and experiments to measure performance and guide system improvements.
- Build and improve model-training, feedback, search, retrieval, and grounding systems.
What they ask for
- Deep experience in at least two of: agentic architectures and reasoning; model evaluation; model training; search, ranking, retrieval, or RAG.
- Strong ML fundamentals, including training data, objectives, metrics, failure analysis, calibration, and validation.
- Strong engineering fundamentals and experience building production-quality systems.
- Clear communication and collaboration across engineering, clinical, and product teams.
Nice to have
- Published research, patents, open-source contributions, or novel production ML systems.
- Experience in healthcare or safety-critical domains; human-feedback systems; AI safety, bias detection, calibration, or fairness.
Pay
$200K – $300K (base salary)
Tools
LLMs, RAG, RLHF, HIPAA, FHIR, EHR, HL7
AI focus
Develop clinical AI reasoning, evaluation, learning, search, retrieval, and grounding, with a focus on improving safety, accuracy, and clinical decisions.
Model-written summary · the original posting is authoritative