HPE
AI/ML Engineer - Agentic
$136K–$276K
San Jose, California, United States of America · Full-time · Posted Jul 14, 2026
- Experience
- Typically 4-7 years’ experience.
- Education
- Bachelor’s degree in computer science, engineering, information systems, or closely related quantitative discipline; Master’s desirable.
About the job
Designs, builds, and operates an enterprise-grade agentic orchestration platform and its backend, retrieval, memory, and cloud infrastructure.
What you'll do
- Build scalable multi-agent workflows and MCP server infrastructure.
- Integrate enterprise LLM services and develop retrieval, memory, and backend systems.
- Own production reliability, observability, and cloud-native deployment and operations.
What they ask for
- Production experience with agentic frameworks such as LangGraph, Claude Agent SDK, or equivalent.
- Deep understanding of multi-agent architectures and hands-on experience with MCP, A2A, or tool/server registries.
- Experience integrating LLM APIs at scale and designing RAG pipelines; vector store experience with OpenSearch or equivalent.
- Backend and production infrastructure skills including Python, Kubernetes, containers, CI/CD, and observability.
Nice to have
- LangGraph is preferred.
- Multi-tenant architecture awareness and experience with AWS Bedrock or OpenSearch Serverless.
Pay
USD 136,500 - 276,500 (base salary)
Tools
LangGraph, Claude Agent SDK, MCP, A2A, OpenSearch, FastAPI, gRPC, Kubernetes
AI focus
Production agentic systems, multi-agent orchestration, enterprise LLM integration, RAG and memory services, and applied ML practices including fine-tuning concepts, prompt engineering, evaluations, Qlora, and PEFT.
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