Senior AI & Apigee Developer at Austin, TX

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.

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.