ML Engineer II
Core
Build, test, and deploy production-ready AI agents and agentic workflows that integrate seamlessly with enterprise applications and business processes.
Role type
Mid-level Machine Learning Engineer (AI Agents & LLMs)
Builds
Production AI agents, agentic workflows, and AI-enabled features within enterprise Java/Spring platforms
Domain
Healthcare experience measurement, data analytics, and insights
Deliverable
production ML models | product features
Required skills
Python, Java, PyTorch, TensorFlow, LLM application development, RAG, tool calling, prompt engineering, CI/CD, automated testing, observability
Preferred skills
Databricks, vector search, embedding models, conversational AI, Spring Boot, Kubernetes, cloud-native platforms (AWS/Azure/GCP), model serving, inference optimization
Technologies
LangChain, LangGraph, Spring AI, Model Context Protocol (MCP), PyTorch, TensorFlow, Java, Spring, Python, Kubernetes, AWS, Azure, GCP
Responsibilities
Build and deploy production AI agents and agentic workflows; Implement evaluation, monitoring, guardrail, and safety frameworks for LLM applications; Develop and maintain AI-enabled features in distributed microservices ecosystems; Collaborate with AI Scientists to productionize models; Prototype and test solutions for large problems
Seniority
Mid-level, hands-on IC