Staff AI Engineer, GenAI
Core
Architect, build, and operationalize scalable generative AI and machine learning solutions for AI-driven healthcare products.
Role type
Staff AI Engineer (GenAI/ML Platform)
Builds
Production-grade LLM and ML pipelines, API-based AI services, and scalable data/AI workflows on Snowflake and Databricks.
Domain
Healthcare / Generative AI / MLOps
Deliverable
production ML models
Required skills
Generative AI deployment, RAG, vector search, prompt engineering, agentic AI, MLOps/LLMOps, CI/CD for AI, Kubernetes, Docker, Python, SQL, Snowflake, Databricks, Azure ML, Terraform
Preferred skills
API-driven AI development (FastAPI, Flask), healthcare AI applications, regulated AI deployment
Technologies
Snowflake, Databricks, Azure ML, FastAPI, Flask, GitHub Actions, Azure DevOps, MLFlow, Kubernetes, Docker, Terraform, LangChain, MCP
Responsibilities
Operationalize GenAI and LLM applications; Lead design and deployment of production-grade LLM/ML pipelines; Architect scalable data and AI workflows; Build and maintain API-based AI services; Define and implement CI/CD pipelines for GenAI/ML services; Develop and enforce MLOps/LLMOps best practices; Mentor ML engineers and data scientists; Partner with cross-functional teams to integrate AI services; Troubleshoot production AI systems; Document architecture patterns and operational standards.
Seniority
Staff, hands-on IC with mentorship
