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Apigee In Usa Jobs in Texas (NOW HIRING)

... with Apigee or API Gateway • Scripting knowledge (Java, Python, Groovy, or JavaScript) • ... Founded in 2019, the company is headquartered in New York, USA, with a team of 11-50 employees. The ...

Sr Integration Engineer

Houston, TX · On-site

$99K - $133K/yr

... and Apigee, along with development using Java and frameworks like Apache Beam and Maven. • ... Founded in 1973, the company is headquartered in Fremont, USA, with a team of 10001+ employees. The ...

Apigee In Usa information

What is the difference between Apigee In Usa vs API Developer in Usa?

AspectApigee In UsaAPI Developer in Usa
Required CredentialsAPI management certifications, cloud platform knowledgeProgramming skills, API design certifications
Work EnvironmentCloud-based API management platforms, enterprise settingsSoftware development teams, tech companies
Employer & Industry UsageTech firms, enterprises using API gatewaysSoftware companies, startups, agencies

Apigee In Usa focuses on managing and securing APIs using Google Cloud's Apigee platform, requiring knowledge of API gateways and cloud services. API Developers in Usa design, build, and maintain APIs, emphasizing programming skills and API design. While both roles involve APIs, Apigee specialists handle API management at an enterprise level, whereas API Developers focus on creating APIs for various applications.

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Infographic showing various Apigee In Usa job openings in Texas as of July 2026, with employment types broken down into 10% Locum Tenens, 4% Internship, 48% As Needed, 17% Full Time, 3% Part Time, and 18% Nights. Highlights an 77% Physical, 8% Hybrid, and 15% Remote job distribution.

Senior AI & Apigee Developer at Austin, TX

MphasiS Corporation USA

Austin, TX • On-site

Other

Posted 10 days ago


Job description

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.