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# Agent Platform Engineer

- **Company:** Hitachi, Ltd.
- **Location:** Dallas, TX, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Artificial Intelligence, Cloud Computing, Continuous Integration, Identity and Access Management, Python (Programming Language), Neo4j, Software Engineering, Management of Software Versions, Large Language Models, Grafana, AI Coding Agents, Agentic-AI, LangSmith, Infrastructure Automation Frameworks, Machine Learning Operations, Evaluation of Large Language Models, Invoking Functions, Model Context Protocol, Databricks
- **Published:** October 22, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=7c9b6ed67e2d0ad1

## About the Role

* LLM application and agent frameworks (LangChain, LangGraph, or equivalent), including tool/function calling and Model Context Protocol (MCP)
 * LLM evaluation, tracing, and observability tools (MLflow, LangSmith, OpenTelemetry, or equivalent)
 * Ontologies and knowledge graph technologies (RDF/OWL, property graph platforms such as Neo4j, or equivalent)
 * Cloud infrastructure, CI/CD pipelines, and infrastructure-as-code practices supporting Agentic Platforms
 * Identity management, access controls, and guardrail implementation for AI systems, * 10+ years of experience in software engineering or platform engineering
 * 2+ years of experience developing and deploying production-grade LLM or agent-based applications
 * Experience designing human-in-the-loop approval workflows and using evaluation frameworks as release gates

Nice to Have

 * Experience with Databricks (Genie, Mosaic AI, Agent Framework)
 * Familiarity with AI-assisted software development lifecycle practices
 * Automotive or manufacturing industry experience

## Description

* Develop AI agents and strongly typed tools that integrate with enterprise systems.
 * Implement entitlements, agent identities, guardrails, and approval workflows for high-impact actions.
 * Establish tracing, evaluation, and cost-per-decision monitoring capabilities (FinOps for AI).
 * Manage the full agent lifecycle, including versioning, deployment, and operational monitoring.
 * Integrate agents with existing engineering platforms and streaming data sources, and provide operational runbooks for support teams., We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We're also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We're always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you'll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with.