Sr AI/ML Software Engineer
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The role
Lead the end-to-end lifecycle of production AI/ML systems, from data and modeling to deployment, observability, and safety.
Architect and implement agentic AI workflows, tool-using agents, and autonomous decision/action pipelines.
Design, build, and operate MCP servers with capabilities, sessions, schemas, and secure integrations.
Collaborate on cloud infrastructure (Azure/AWS/GCP), containers (Docker/Kubernetes), CI/CD, and monitoring.
Work on retrieval systems, vector databases, LLM safety, evaluation, and data governance.
This is a hybrid role based in Milpitas, CA, requiring 3 days on-site per week.
Architect and implement agentic AI workflows, tool-using agents, and autonomous decision/action pipelines.
Design, build, and operate MCP servers with capabilities, sessions, schemas, and secure integrations.
Collaborate on cloud infrastructure (Azure/AWS/GCP), containers (Docker/Kubernetes), CI/CD, and monitoring.
Work on retrieval systems, vector databases, LLM safety, evaluation, and data governance.
This is a hybrid role based in Milpitas, CA, requiring 3 days on-site per week.
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