AI Engineer

We are seeking a Senior AI Engineer to join our Engineering Frameworks Team. This role involves contributing to the design, development, integration, and support of AI tools and platforms. This is a hands-on engineering position focused on Google Cloud Platform, Gemini, Vertex AI, Claude Code, GitHub Copilot, MCP Servers, Java Spring Boot, and React.js. The ideal candidate will have direct experience building and integrating with AI tools and services to deliver reliable and secure solutions., * Develop and maintain AI platforms, tools, and frameworks, including Claude Code, GitHub Copilot, and MCP servers.

• Implement AI platform services, orchestration patterns, and reference implementations.
• Design and deliver tools that support the development of custom agents and workflows.
• Integrate and operationalize AI tools and services with cloud, security, and enterprise platforms.
• Build secure, scalable, and maintainable services for custom agents and AI tool integrations.
• Provide technical support and guidance to development teams.
• Contribute to framework lifecycle practices, including versioning, release management, and documentation.
• Implement logging, metrics, and token-utilization monitoring for AI services on Google Cloud Platform.
• Apply enterprise security, privacy, responsible AI, and governance practices to AI solutions.
• Collaborate with development teams, security, and architecture to define requirements.
• Participate in code reviews, technical discussions, and knowledge-sharing activities.
• Mentor junior engineers on the team and across development teams.

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 software solutions in production environments. Hands-on experience building or integrating AI, LLM, or developer-platform capabilities.

Technical Skills: Experience with cloud-based AI services platforms such as Google Cloud Platform, Gemini, and Vertex AI. Understanding of application architecture, integration patterns, APIs, and software design principles. Experience developing Java REST APIs with Spring Boot and knowledge of React.js. Experience with secure API integrations and OAuth 2.0 / OpenID Connect authorization patterns. Understanding of the software development lifecycle, CI/CD, observability, and security practices.

Preferred Qualifications

• Hands-on experience using Claude Code and GitHub Copilot in an engineering workflow.
• Experience designing or implementing custom AI agents, reusable orchestration patterns, or shared integrations.
• Experience building sequential, multi-agent, or deterministic graph-based agent workflows.
• Experience building or integrating MCP servers and clients.
• Familiarity with enabling agent-to-agent communication using A2A or comparable protocols.
• Experience with Google ADK, Spring AI, LangChain, LangChain4j, or similar LLM integration libraries.
• Experience with Gemini Agent Platform / Vertex AI capabilities.
• Experience implementing model governance controls such as Google Cloud Platform Model Armor.
• Experience implementing logging, metrics, and distributed tracing 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.

Strengths and Capabilities

• Technical Expertise: Hands-on knowledge of AI/LLM integration, agent development, and platform engineering.
• Platform Proficiency: Ability to build, integrate, and support AI platforms and developer toolkits using Google Cloud Platform, Gemini, Vertex AI, and related technologies.
• Application and Integration Design: Ability to apply design patterns and contribute to reusable orchestration patterns and frameworks.
• Technical Delivery: Ability to own work efforts end-to-end and deliver high-quality solutions.
• Security and Responsible AI: Ability to apply secure-by-design, privacy, and governance principles to enterprise AI solutions.
• Product Awareness: Ability to understand developer and business needs and contribute to continuous improvement.
• Collaboration and Communication: Ability to work effectively with development teams, technical leads, and stakeholders.
• Mentorship and Advocacy: Ability to share knowledge and support junior engineers.
• Adaptability: Ability to learn and apply evolving AI technologies and industry practices.

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.

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