Senior AI Engineer - Hybrid

Requirements:

• Bachelors degree or equivalent experience in computer science, engineering, artificial intelligence, or a related field
• 5–7+ years of experience in software engineering, platform engineering, AI engineering, or a related technical discipline
• Proven ability to deliver high-quality software in production environments
• Hands-on experience building or integrating AI, LLM, developer-platform, or automation capabilities
• Experience with cloud AI platforms such as GCP, Gemini, and Vertex AI, or comparable model platforms
• Strong understanding of application architecture, integration patterns, APIs, and software design principles
• Experience developing Java REST APIs and services with Spring Boot, plus 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 the software development lifecycle, CI/CD, observability, reliability, security, privacy, and responsible AI practices
• Strong problem-solving, attention to detail, technical communication, and cross-team collaboration skills
• Familiarity with AI platforms and capabilities such as model gardens, model runtime, model gateways, and agent gateways
• Knowledge of custom agent design, sequential workflows, multi-agent systems, deterministic graph-based agents, and reusable orchestration patterns
• Experience with developer tools such as Claude Code and GitHub Copilot, including custom instructions, prompts, skills, plugins, or extensions
• Familiarity with MCP servers and clients, tools, resources, data-source integrations, A2A patterns, and agent-to-agent communication
• Experience with Google ADK, Spring AI, LangChain, LangChain4j, or comparable AI/LLM integration libraries
• Knowledge of Java, Spring Boot, REST APIs, React.js, microservices, and cloud-native application patterns
• Understanding of OAuth 2.0, OpenID Connect, service accounts, delegated access, model governance, GCP Model Armor, privacy, responsible AI, and access control
• Experience with CI/CD, Harness, Azure DevOps, logging, metrics, tracing, token-utilization monitoring, performance, reliability, and incident support
• Desired: Hands-on use of Claude Code and GitHub Copilot in an engineering workflow; experience designing agents, orchestration patterns, shared integrations, or reference implementations; building MCP servers or clients and agent workflows; or enabling agent-to-agent communication
• Desired: Experience with Gemini Agent Platform / Vertex AI capabilities, model governance controls, operational monitoring for AI services on GCP, containerization, microservices, cloud-native architecture, Harness or Azure DevOps pipelines, and Agile/Scrum practices
• Candidates must be available and ready to work directly as Genesis10 employees

Responsibilities:

• Develop and maintain AI platforms, tools, and frameworks used by engineers, 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 enable development of custom agents and workflows
• 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 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, releases, 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, security, and architecture teams to define requirements and deliver platform capabilities
• Participate in code reviews, technical discussions, troubleshooting, and knowledge-sharing activities
• Mentor junior engineers on the team and across development teams, supporting continuous improvement

Technologies:

• AI
• API
• Azure
• CI/CD
• Claude Code
• Cloud
• Copilot
• DevOps
• GCP
• GitHub
• Support
• Java
• LLM
• MCP
• OAuth
• OpenID
• REST
• React
• Security
• Spring
• Spring Boot
• microservices
• AI Agents

More

We are recruiting a Senior AI Engineer for a contract-to-hire role with a regional financial institution in Columbus, Ohio. The opportunity begins with a contract of 3+ months and pays $65–$75 per hour on W-2, based on qualifications. This hands-on engineering role focuses on GCP, Gemini, Vertex AI, Java Spring Boot, and React.js, supporting AI tools and platforms for developers across the company. Genesis10 works with clients across the United States, including Fortune 100 and mid-market organizations, and offers contract employees benefits that may include medical, dental, and vision coverage; a health savings account; voluntary insurance options; a 401(k); sick pay where applicable; commuter benefits in select locations; and access to a behavioral health platform and an experienced recruiting team. Genesis10 is an equal opportunity employer.

last updated 43 week of 2026