AI Engineer

Job#: 3054206

Job Description: AI Engineer

Location: Columbus, Ohio (Onsite)

We are seeking a talented Senior AI Engineer to join an Engineering Frameworks Team. In this role, you will contribute to the design, development, integration, operationalization, and support of AI tools and platforms utilized by developers. This is a hands-on engineering role centered on GCP, Gemini and Vertex AI or comparable services, Claude Code, Git Hub Copilot, MCP Servers, Java Spring Boot, and React.js.

The ideal candidate will have direct, demonstrable experience building and integrating with AI tools and services.

• Develop and maintain AI platforms, tools, and frameworks, including Claude Code, Git Hub Copilot, MCP servers, plugins, skills, and agentic frameworks.
• Implement AI platform services, orchestration patterns, reference implementations, and shared integration components.
• Design and deliver tools that support development of custom agents and workflows, including sequential, multi-agent, and deterministic graph-based solutions.
• Integrate and operationalize AI tools and services with cloud, security, development, and enterprise technology platforms.
• Build secure, scalable, reliable, observable, performant, and maintainable services for custom agents and AI tool integrations.
• Provide technical support and guidance to development teams building, deploying, and operating custom agents and MCP servers.
• Contribute to framework lifecycle practices, including versioning, release management, documentation, adoption, support, and continuous improvement.
• Implement logging, metrics, token-utilization monitoring, tracing, and other operational capabilities for AI services running on GCP.
• Apply enterprise security, privacy, responsible AI, access-control, governance, cost-management, and model-risk practices to AI solutions.
• Collaborate with development teams, security, and architecture to define requirements and deliver platform capabilities.
• Participate in code reviews, technical discussions, troubleshooting, and knowledge-sharing activities.
• Mentor junior engineers.

Education: Bachelor’s degree or equivalent work experience in computer science, engineering, artificial intelligence, or a related field.

Experience: 5-7 years of experience in software engineering, platform engineering, AI engineering, or a related technical discipline. Proven experience delivering high-quality software solutions in production environments. Hands-on experience building or integrating AI, LLM, developer-platform, or automation capabilities.

Technical

Skills:

Experience with cloud-based AI services platform such as GCP, Gemini, and Vertex AI or comparable model platforms. Solid understanding of application architecture, integration patterns, APIs, and software design principles. Experience developing Java REST APIs and services with Spring Boot and working knowledge of React.js or comparable front-end technologies. Experience with secure API integrations and OAuth 2.0 / OpenID Connect authorization patterns.

Understanding of software development lifecycle, CI/CD, observability, reliability, security, privacy, and responsible AI practices.

• Hands-on experience using Claude Code and Git Hub Copilot in an engineering workflow.
• Designing or implementing custom AI agents, reusable orchestration patterns, or shared integrations.
• Building sequential, multi-agent, or deterministic graph-based agent workflows.
• Building or integrating MCP servers and clients to expose tools, resources, or data sources to AI agents.
• Enabling agent-to-agent communication using A2A or comparable protocols.
• Experience with Google ADK, Spring AI, Lang Chain, LangChain4j, or similar LLM integration…