Senior AI Platform Engineer — Enterprise Tools & Agents

Heitmeyer Consulting; Columbus (OH); On-site; USD 120,000 - 180,000; Full time

Job summary

Heitmeyer Consulting seeks a Senior AI Engineer to join the Engineering Frameworks team and advance enterprise AI platforms and developer tools.

The role is hands-on, focusing on building AI capabilities with GCP, Gemini, Vertex AI, Claude Code, GitHub Copilot, and MCP, while delivering production-ready services and patterns.

You will own major deliverables from design to production support and mentor junior engineers, collaborating with architecture, security, and business teams.

Qualifications

• 5–7 years of experience in software engineering, platform engineering, AI engineering, or a related technical discipline.
• Hands-on experience building or integrating AI, LLM, automation, or developer-platform capabilities.
• Experience with cloud-based AI platforms such as GCP, Gemini, and Vertex AI, or comparable technologies.
• Strong understanding of application architecture, APIs, integration patterns, and software design principles.
• Strong Java and Spring Boot development experience.
• Experience developing REST APIs and secure integrations.
• Experience with OAuth 2.0 / OpenID Connect, including service accounts, client credentials, or delegated user access.
• Understanding of CI/CD, observability, reliability, security, privacy, and responsible AI practices.
• Strong problem-solving, communication, collaboration, and technical documentation skills.

Responsibilities

• Develop and maintain AI platforms, developer tools, frameworks, and shared services used by engineering teams.
• Build and integrate AI capabilities using GCP, Gemini, Vertex AI, Claude Code, GitHub Copilot, MCP, and related technologies.
• Develop reusable AI services, orchestration patterns, reference implementations, and integration components.
• Design and implement custom agent workflows, including sequential, multi-agent, and deterministic graph-based solutions.
• Build secure, scalable, reliable, observable, and maintainable AI services and integrations.
• Develop Java/Spring Boot services and REST APIs supporting AI platforms and applications.
• Integrate AI capabilities with enterprise cloud, security, identity, and technology platforms.
• Build or integrate MCP servers and clients that expose tools, resources, and data sources to AI agents.
• Provide technical support and guidance to development teams building and operating AI applications and agents.
• Implement logging, metrics, tracing, token utilization monitoring, and other operational capabilities for AI services.
• Apply security, privacy, access control, responsible AI, governance, and cost-management practices.
• Participate in code reviews, technical design discussions, troubleshooting, testing, and production support.
• Contribute to platform documentation, release management, adoption, and continuous improvement.
• Collaborate with engineering, architecture, security, product, and business teams to deliver AI platform capabilities.
• Share knowledge and mentor junior engineers and development teams on AI technologies and best practices.

Skills

AI/LLM Integration

Java / Spring Boot

REST APIs

GCP / Gemini / Vertex AI

OAuth 2.0 / OpenID Connect

CI/CD / Harness / Azure DevOps

Distributed Tracing / Observability

Tools

Claude Code

GitHub Copilot

LangChain4j

Job description

Heitmeyer Consulting seeks a Senior AI Engineer to join the Engineering Frameworks team and advance enterprise AI platforms and developer tools.

The role is hands-on, focusing on building AI capabilities with GCP, Gemini, Vertex AI, Claude Code, GitHub Copilot, and MCP, while delivering production-ready services and patterns.

You will own major deliverables from design to production support and mentor junior engineers, collaborating with architecture, security, and business teams.