Senior AI Engineer
$65 - $75 per hourGenesis10
Genesis10 is currently seeking a Senior AI Engineer for a contract to hire position with a Regional Financial Institution located in Columbus, OH. This is a 3+ month contract to hire opportunity.
Pay range: $65.00-75.00 per hour We are looking for a talented Senior AI Engineer to contribute to the design, development, and support of AI tools and platforms for developers across the company. This is a hands-on engineering role centered on GCP, Gemini, Vertex AI, Java Spring Boot, and React.js. The ideal candidate will have demonstrable experience building and integrating with AI tools and services to deliver reliable, secure, and maintainable solutions that accelerate software development. Responsibilities:
For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. #DIG10-OH
Pay range: $65.00-75.00 per hour We are looking for a talented Senior AI Engineer to contribute to the design, development, and support of AI tools and platforms for developers across the company. This is a hands-on engineering role centered on GCP, Gemini, Vertex AI, Java Spring Boot, and React.js. The ideal candidate will have demonstrable experience building and integrating with AI tools and services to deliver reliable, secure, and maintainable solutions that accelerate software development. Responsibilities:
- Develop and maintain AI platforms, tools, and frameworks used by engineers across the company, 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 the 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 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 on the team and on development teams, contributing to a culture of continuous improvement
- Bachelor's degree or equivalent work 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 experience delivering high-quality software solutions in production environments
- Hands-on experience building or integrating AI, LLM, developer-platform, or automation capabilities
- Experience with cloud-based AI services platforms 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 the software development lifecycle, CI/CD, observability, reliability, security, privacy, and responsible AI practices
- Strong problem-solving skills, attention to detail, technical communication, and ability to collaborate effectively across teams
- AI Platforms: GCP, Gemini, Vertex AI, model garden, model runtime, model gateway, and agent gateway
- AI Engineering: custom agent design, sequential workflows, multi-agent systems, deterministic graph-based agents, and reusable orchestration patterns
- Developer Tools: Claude Code, GitHub Copilot, custom instructions, prompts, skills, plugins, and extensions
- Agent Integration: MCP servers and clients, tools, resources, data-source integrations, A2A patterns, and agent-to-agent communication
- Frameworks: Google ADK, Spring AI, LangChain, LangChain4j, or comparable AI/LLM integration libraries
- Application Development: Java, Spring Boot, REST APIs, React.js, microservices, and cloud-native application patterns
- Security and Governance: OAuth 2.0, OpenID Connect, service accounts, delegated access, model governance, GCP Model Armor, privacy, responsible AI, and access control
- Operations: CI/CD, Harness, Azure DevOps, logging, metrics, tracing, token utilization, performance, reliability, and incident support
- Hands-on experience using Claude Code and GitHub Copilot in an engineering workflow
- Designing or implementing custom AI agents, reusable orchestration patterns, shared integrations, or reference implementations
- 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 such as model garden, model runtime, model gateway, or agent gateway
- Implementing model governance controls such as GCP Model Armor, cost controls, token limits, rate limits, and access policies
- Implementing logging, metrics, distributed tracing, token-utilization monitoring, and operational dashboards for AI services on GCP
- 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 and development practices for shared platform capabilities
- Access to hundreds of clients, most who have been working with Genesis10 for 5-20 years.
- The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years.
- Access to an experienced, caring recruiting team (more than 7 years of experience, on average.)
- Behavioral Health Platform
- Medical, Dental, Vision
- Health Savings Account
- Voluntary Hospital Indemnity (Critical Illness & Accident)
- Voluntary Term Life Insurance
- 401K
- Sick Pay (for applicable states/municipalities)
- Commuter Benefits (Dallas, NYC, SF, and Illinois)
For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. #DIG10-OH
Vacancy posted 1 day ago
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