Senior AI & Apigee Developer
Austin, TX
$120K - $130K PA
Senior AI & Apigee Developer to help define and build the next generation of our API Platform, Developer Portal, and AI-powered onboarding capabilities. This role will focus on Google Apigee, API platform modernization, MCP integrations, Apigee Monetization, Agentic AI solutions, and AI-driven automation that improves developer productivity and onboarding experience.
Ideal Candidate
The ideal candidate is a hands-on engineer with strong expertise in API platforms, cloud technologies, AI-enabled development, and enterprise automation.
A senior, hands-on engineer with expertise in Apigee, MCP, AI agents, Agentic AI, LLMs, RAG, AI-DLC, Terraform, GitHub Actions, and Developer Portal technologies, capable of driving API platform modernization and delivering AI-powered solutions that improve onboarding, automation, and developer productivity across the enterprise.
Years of experience needed 12+ years
Key Responsibilities
- Design, develop, and support API platform capabilities using Google Apigee.
- Implement and manage Apigee Monetization capabilities.
- Build and integrate MCP (Model Context Protocol) servers to enable AI-powered interactions with enterprise APIs and services.
- Design and implement Agentic AI solutions for API onboarding, support, documentation, and operational automation.
- Define and develop AI-powered onboarding capabilities that reduce manual effort and improve developer experience.
- Enhance and scale the internal Developer Portal and related SPA applications.
- Build reusable frameworks, templates, and self-service capabilities for API consumers.
- Develop CI/CD pipelines and Infrastructure as Code (IaC) solutions for platform automation.
- Partner with Architecture, Platform, Security, and Application teams to deliver secure, scalable, and resilient solutions.
- Drive adoption of AI-enabled engineering practices and AI-Driven Development Lifecycle (AI-DLC) capabilities.
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Required Skills
- 6+ years of hands-on Google Apigee experience.
- Strong experience with API Proxy Development, Shared Flows, API Products, Developer Apps, Target Servers, and KVMs.
- Experience implementing OAuth 2.0, OIDC, JWT, mTLS, API Key management, and certificate-based authentication.
- Strong software development experience using Java, Python, JavaScript
- Experience developing REST APIs, microservices, and enterprise integrations.
- Experience designing and implementing AI-powered engineering solutions.
- Experience building Agentic AI workflows and automation solutions.
- Experience with MCP (Model Context Protocol) architecture and integrations.
- Experience working with LLMs and enterprise AI solutions.
- Experience with Prompt Engineering and AI-assisted development tools.
- Experience designing or implementing RAG (Retrieval-Augmented Generation) solutions.
- Experience developing AI agents, multi-agent systems, or intelligent orchestration workflows.
- Experience creating agent skills, training workflows, and AI enablement capabilities.
- Experience building CI/CD pipelines using GitHub Actions, Jenkins, Azure DevOps, or similar platforms.
- Experience with Terraform and Infrastructure as Code (IaC).
- Experience with Google Cloud Platform (Google Cloud Platform) and container technologies.
- Experience with monitoring, observability, dashboarding, and ing solutions.
Preferred Skills
- Experience implementing Apigee Monetization solutions.
- Experience leading AI-Driven Development Lifecycle (AI-DLC) initiatives.
- Experience integrating GitHub Copilot or other AI coding assistants into engineering workflows.
- Experience with Vertex AI, Gemini, Azure OpenAI, LangChain, CrewAI, AutoGen, or similar AI frameworks.
- Experience building enterprise MCP servers and AI gateways.
- Experience designing multi-agent architecture and orchestration frameworks.
- Experience developing AI-powered onboarding agents and intelligent self-service platforms.
- Experience with React, Angular, or modern SPA frameworks.
- Experience supporting large-scale API onboarding and modernization initiatives.
- Experience with Kubernetes, Docker, and cloud-native architectures.
- Experience working in highly regulated enterprise environments such as Financial Services.
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