Senior Machine Learning (ML) Engineer
Core
Design and build multi-agent AI workflows with reasoning, planning, and goal-driven behavior for healthcare intelligence systems.
Role type
Senior IC machine learning engineer (multi-agent systems & LLMs)
Builds
Scalable AI platforms integrating embeddings, vector stores, and retrieval-augmented generation pipelines
Domain
Healthcare intelligence / Large Language Models / Multi-agent systems
Deliverable
production ML models
Required skills
Multi-agent workflow design, LLM fine-tuning (LoRA, PEFT, TRL), vector database integration, Python, cloud system design, transformer architecture knowledge, ML evaluation metrics
Preferred skills
MCP and A2A interoperability protocols, reinforcement fine-tuning, semantic search pipeline optimization
Technologies
LangGraph, AutoGen, CrewAI, FAISS, Pinecone, Chroma, Azure AI Search, Azure, AWS, GCP
Responsibilities
Design multi-agent AI workflows with reasoning and memory; Develop embeddings and retrieval-augmented generation pipelines; Fine-tune and optimize LLMs and multimodal models; Create evaluation methods and reward functions for reinforcement fine-tuning; Collaborate with platform and product engineers to deliver reliable AI solutions; Set technical direction and mentor peers
Seniority
Senior, hands-on IC with mentorship responsibilities