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AI Engineer

Apex SystemsColumbus, OH🇺🇸United StatesPosted Oct 5, 2026

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
Columbus, OH, United States
Posted
Yesterday
MicroservicesSpringSpring BootOAuthScrumAgileAzureGoogle CloudJavaLLMRESTReact

Job Description

Job#: 3054206
Job Description:
AI Engineer
Location: Columbus, Ohio (Onsite)
Role Overview
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 Google Cloud Platform, Gemini and Vertex AI or comparable services, Claude Code, GitHub 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.
Key Responsibilities
  • Develop and maintain AI platforms, tools, and frameworks, including Claude Code, GitHub 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 Google Cloud Platform.
  • 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.
Required Qualifications
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 Google Cloud Platform, 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.
Preferred Qualifications
  • Hands-on experience using Claude Code and GitHub 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, LangChain, LangChain4j, or similar LLM integration libraries and SDKs.
  • Experience with Gemini Agent Platform / Vertex AI capabilities.
  • Implementing model governance controls such as Google Cloud Platform Model Armor, cost controls, token limits, and access policies.
  • Implementing logging, metrics, distributed tracing, token-utilization monitoring, and operational dashboards for AI services on Google Cloud Platform.
  • Exposure to containerization, microservices, and cloud-native application architecture.
  • Experience working with CI/CD pipelines in Harness and Azure DevOps.
  • Familiarity with Agile/Scrum methodologies.

Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
Everforth Apex uses a virtual recruiter as part of the application process. Click for more details. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Everforth Apex and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at
Everforth Apex Benefits Overview: Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Everforth Apex team member can provide.
Everforth Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Everforth Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law.
If you require an accommodation under the Americans with Disabilities Act to participate in an interview with a virtual recruiter or to use our website for a search or application, please contact our Benefits Department at or . Please note that this contact information is strictly to be used for medical ADA accommodations and that no other inquiries will be answered.
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