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# AI Engineer

- **Company:** Indotronix Avani Group
- **Location:** Columbus, OH, United States
- **Experience:** Expert
- **Contract:** Temporary to permanent
- **Skills:** Java (Programming Language), Artificial Intelligence, Microsoft Azure, Communications Protocols, Continuous Integration, JSON, OAuth, Scrum Methodology, Systems Development Life Cycle, Openid Connect, GitHub Copilot, ReactJS, Large Language Models, Claude Code, Spring-boot, Agentic-AI, Containerization, AI Platforms, Information Technology, Front End Software Development, Google Gemini, Restful APIs, Dynatrace, Microservices, Agent2Agent Protocol
- **Published:** October 6, 2026
- **Apply:** https://candidateportal.ceipal.com/job-details/RSUD_auhNTGLBXhTvftpqcTCe9WQuKNvtTeJ6jzF5aw

## About the Role

Bachelor's degree or equivalent experience in Computer Science, Engineering, AI, or related field

 - 5-7 years' professional software or platform engineering experience, delivering production-grade solutions
 - Demonstrable experience with AI, LLM, or automation tool integration
 - Proficient 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 US without current or future sponsorship
 - Onsite attendance required 4 days per week at one of the specified locations

Preferred Skills

 - 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, 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
 - Agile/Scrum environment experience, Candidates must come on site in 1 of the below locations 4 days a weekThis is a contract to hire role and the client does not provide any form of visa sponsorship To qualify candidates must be eligible to work in US without sponsorship now or in futureJavaSpringReactAI experience

## Description

Join a forward-thinking Engineering Frameworks Team as a Senior AI Engineer. Play a pivotal role in developing and integrating AI tools and platforms that empower developer productivity and innovation. This hands-on position leverages cutting-edge technologies including GCP, Gemini, Vertex AI, Claude Code, GitHub Copilot, Java Spring Boot, and React.js. Enjoy a collaborative environment with opportunities to mentor, innovate, and grow your career in AI engineering. Onsite work required 4 days per week; contract-to-hire; no visa sponsorship provided., Lead the development and maintenance of scalable AI platforms, frameworks, and tools such as 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: versioning, release management, adoption, and continuous improvement.
 - Implement operational capabilities including logging, metrics, token monitoring, and distributed tracing.
 - Apply enterprise best practices for security, privacy, responsible AI, access control, and cost management.
 - Collaborate cross-functionally with developers, security, and architecture teams.
 - Mentor junior engineers and contribute to knowledge-sharing initiatives.