AI Engineer
Indotronix International Corporation•Columbus, OH
•Onsite
About The Position
Join the Engineering Frameworks Team as a Senior AI Engineer, developing and integrating AI tools and platforms that support developer productivity and innovation. This hands-on role uses technologies including GCP, Gemini, Vertex AI, Claude Code, GitHub Copilot, Java Spring Boot, and React.js. The position is contract-to-hire and requires onsite work four days per week at one of the specified locations: Columbus, Ohio; Dallas, Texas; Chicago, Illinois; Charlotte, North Carolina; Detroit, Michigan; or Minneapolis, Minnesota. No visa sponsorship is provided.
Requirements
- Bachelor’s degree or equivalent experience in Computer Science, Engineering, AI, or a related field.
- 5–7 years of professional software or platform engineering experience delivering production-grade solutions.
- Demonstrable experience integrating AI, LLM, or automation tools.
- Proficiency with GCP, Gemini, Vertex AI, or comparable cloud-based AI platforms.
- Strong background in Java REST API development with Spring Boot.
- Practical knowledge of React.js or similar front-end technologies.
- Experience with secure API integration, OAuth 2.0, and OpenID Connect.
- Familiarity with SDLC, CI/CD, observability, and responsible AI practices.
- Must be eligible to work in the United States without current or future sponsorship.
- Must work onsite four days per week at one of the specified locations.
Nice To Haves
- Hands-on experience with Claude Code and GitHub Copilot in engineering workflows.
- Experience designing custom AI agents, orchestration patterns, or shared integrations.
- Knowledge of MCP servers and agent-to-agent (A2A) communication protocols.
- Exposure to Google ADK, Spring AI, LangChain, LangChain4j, or similar LLM SDKs.
- Familiarity with Gemini Agent Platform and Vertex AI features.
- Experience implementing model governance, operational dashboards, and distributed tracing for AI services.
- Exposure to microservices, cloud-native architecture, containerization, and CI/CD with Harness or Azure DevOps.
- Experience in an Agile/Scrum environment.
Responsibilities
- Lead development and maintenance of scalable AI platforms, frameworks, and tools, including Claude Code, GitHub Copilot, MCP servers, and agentic frameworks.
- Design and implement AI platform services, orchestration patterns, and reusable integration components.
- Deliver workflow automation solutions, including custom agents and graph-based, multi-agent systems.
- Integrate AI solutions with cloud, security, and enterprise technology platforms.
- Build secure, reliable, observable, and maintainable services for AI and agent integration.
- Provide technical support, documentation, and guidance to developer teams.
- Drive framework lifecycle practices, including versioning, release management, adoption, and continuous improvement.
- Implement operational capabilities such as logging, metrics, token monitoring, and distributed tracing.
- Apply enterprise best practices for security, privacy, responsible AI, access control, and cost management.
- Collaborate with developers, security teams, and architecture teams.
- Mentor junior engineers and contribute to knowledge-sharing initiatives.
Benefits
- Opportunity to convert to a full-time role based on performance.
- Work alongside top engineering talent in a dynamic, collaborative setting.
- Expand AI engineering skills using the latest industry tools and frameworks.
- Direct impact on the success and adoption of enterprise AI platforms.
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What This Job Offers
Career Level
Senior
