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Hewlett Packard Enterprise Logo Hewlett Packard Enterprise · IT - Software Development

AI/ML Engineer - Agentic

United States, San Jose 136500.00 - 276500.00 USD / Year · Job Posted June 15, 2026
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Job Description

The AI/ML Engineer – Agentic is a senior individual contributor responsible for designing, building, and operating a production-grade agentic orchestration platform, including multi-agent workflows and MCP server–based tool infrastructure. The role focuses on enterprise-scale LLM integration, shared retrieval and memory services, and high‑performance backend systems that power agent execution. This position owns reliability, observability, and cloud-native operations for non-deterministic agentic systems in production

Job Responsibility

  • Design, build, and own a production-grade agentic orchestration platform, implementing scalable multi-agent workflows using frameworks such as LangGraph or equivalent
  • Architect, develop, and operate the MCP server infrastructure, including inter-agent communication, tool/server registries, domain isolation, versioning, and lifecycle management
  • Integrate and operate LLM services at enterprise scale, supporting streaming, structured outputs, tool/function calling, and robust error handling across agent workflows
  • Build and maintain retrieval and memory services for agentic systems, including RAG pipelines, OpenSearch-backed vector stores, hybrid search, and relevance optimization
  • Develop and operate high-performance backend services (FastAPI, gRPC, async systems, messaging) that power orchestration, tool execution, and agent runtime behavior
  • Own observability and reliability for non-deterministic systems, delivering end-to-end tracing, monitoring, and cost/performance visibility for agent executions
  • Manage cloud-native infrastructure and deployment, including Kubernetes workloads, containerized services, CI/CD pipelines, and resource optimization (CPU/memory, autoscaling)

Requirements

  • Bachelor's degree in computer science, engineering, information systems, or closely related quantitative discipline
  • Typically, 4-7 years’ experience
  • Production experience with agentic frameworks: LangGraph (preferred), Claude Agent SDK, or equivalent (not just prototypes)
  • Deep understanding of multi-agent architectures: supervisor/worker patterns, hierarchical agent graphs, ReAct loops, ReWoo
  • Hands-on with inter-agent communication protocols: MCP (Model Context Protocol), A2A, tool registry / server registry
  • LLM API integration at scale: structured outputs, streaming, function/tool calling, error handling
  • RAG pipeline design and optimization: chunking strategies, re-ranking, hybrid search
  • Vector store experience: OpenSearch or equivalent
  • Applied ML intuition: fine-tuning concepts, prompt engineering, evaluations, Qlora, PEFT
  • Backend development: FastAPI, gRPC, Kafka, Redis, message queues, Async System design: Python, API Design GraphQL and/or REST at enterprise scale
  • Observability and monitoring for non-deterministic systems: LangFuse, Prometheus, or equivalent
  • Kubernetes: deploying, scaling, and managing workloads (Deployments, Services, ConfigMaps, Secrets)
  • Container image management: building, tagging, versioning, and pushing images via Docker
  • CI/CD pipelines for automated build and deploy (GitHub Actions, Jenkins, ArgoCD, or similar)
  • Resource management: CPU/memory limits, autoscaling (HPA/VPA), health probes

Nice to have

  • Multi-tenant architecture awareness: rate limiting, auth, tenant isolation
  • Knowledge base and cost optimization experience: AWS Bedrock, OpenSearch Serverless

What we offer

  • Health & Wellbeing
  • Personal & Professional Development
  • Unconditional Inclusion
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