Machine Learning Engineer, Applied AI (Hybrid)
Core
Building product features and AI workflows that help health and wellness clinicians work effectively and efficiently to provide quality care.
Role type
Senior Machine Learning Engineer (Applied AI)
Builds
Production AI workflows, LLM-driven features, and data pipelines for private practice management software.
Domain
Health tech / Private practice management / Large Language Models (LLMs)
Deliverable
product features
Required skills
Python, data engineering, AWS, LLM workflow design and evaluation, retrieval pipelines, vector databases, cross-disciplinary problem solving
Preferred skills
RAG architecture, LLM eval tools, human-in-the-loop evaluation, ML orchestration platforms, Kubernetes, prompt management tools
Technologies
Python, AWS, GitHub, Slack, Notion, Zoom, Langfuse, Argo Flows
Responsibilities
Develop and tune AI workflows and data pipelines; integrate AI into production systems; design experiments and build prototypes; provide AI expert advice to product and engineering teams; mentor team members on AI/ML best practices; stay current with emerging ML tools and technologies.
Seniority
Senior, hands-on IC