Machine Learning Engineer
Core
Design, build, and ship AI agents and automation to solve real problems across engineering, product, and delivery organizations.
Role type
Machine Learning Engineer (AI Agents & Automation)
Builds
AI agents, automation workflows, and reusable libraries for internal engineering and customer-facing delivery
Domain
Healthcare technology / AI infrastructure
Deliverable
production ML models
Required skills
Python, LLM APIs, agentic frameworks (LangChain, Strands), prompt engineering, PyTorch, scikit-learn, software engineering fundamentals
Preferred skills
Experience with non-technical stakeholders, embedded/consulting-style engineering, healthcare data/EHR familiarity
Technologies
LangChain, Strands, PyTorch, scikit-learn
Responsibilities
Develop and implement AI Agents and automation owning the full lifecycle from discovery to production; Integrate AI into existing software infrastructure; Collaborate with product managers and engineers to identify pain points and scope solutions; Stay current with LLMs and agentic frameworks to drive innovation; Optimize AI systems for accuracy, latency, cost, and safety; Maintain documentation of model development processes
Seniority
Mid-level (2–4 years experience)
