2+ years in production-grade LLM or agent-based applications
Proficient in Python and API engineering (REST, typed schemas)
Experience with LLM frameworks (LangChain, LangGraph)
Knowledge of cloud infrastructure and CI/CD practices
Familiarity with identity management and access controls
Responsibilities
Develop AI agents and tools for enterprise integration
Implement entitlements and approval workflows for actions
Establish monitoring for decision-making costs
Manage the lifecycle of AI agents from deployment to monitoring
Integrate agents with engineering platforms and data sources
Benefits
Opportunity to work with cutting-edge AI technologies
Collaborative environment focused on innovation
Access to professional development resources
Flexible work arrangements
Engagement in high-impact projects
Full Job Description
Function
Cloud & Data EngineeringJob description
Summary
Designs, secures, and operates AI agents along with the tools they invoke, incorporating the tracing, evaluation, and cost-management capabilities required for production environments.
Key Responsibilities
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.
Technology and Skills
Python development and API engineering (REST, typed schemas)
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
Experience
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
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About Hitachi America
Hitachi America is a subsidiary of Hitachi, Ltd., a Japanese multinational conglomerate. They provide a wide range of products and services, including information technology, power systems, and social infrastructure. They work with clients in a variety of industries, including healthcare, transportation, and finance. They are committed to sustainability and social responsibility, and have implemented various initiatives to reduce their environmental impact.
