Senior Application Developer - APIGEE/ AI

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Job Summary:

Apigee API Management

AI integration architectures

AI Gateway

Key Responsibilities

• Design and implement API solutions using Apigee Edge/Hybrid/X, including proxies, policies, and security configurations.
• Architect and build an AI Gateway that integrates with LLMs, ML models, and AI services (e.g., OpenAI, Azure AI, Vertex AI).
• Collaborate with AI/ML teams to expose model endpoints securely and efficiently.
• Implement rate limiting, caching, analytics, and monetization strategies for AI APIs.
• Integrate with identity providers for OAuth2, JWT, and API key-based authentication.
• Monitor and optimize API performance, scalability, and reliability.
• Stay current with emerging trends in API management, AI integration, and cloud-native architectures.
  

Required Skills & Qualifications

• 7–10 years of experience in API development and management, with at least 3 years in Apigee.
• Proven experience in building and scaling API gateways, preferably with AI/ML integrations.
• Strong understanding of REST, GraphQL, Webhooks, and event-driven architectures.
• Hands-on experience with Apigee policies, custom scripts, and developer portal configurations.
• Familiarity with AI platforms (e.g., OpenAI, Hugging Face, Azure Cognitive Services).
• Proficiency in JavaScript, Python, or Java for API scripting and backend integration.
• Experience with CI/CD pipelines, containerization (Docker), and Kubernetes.
• Knowledge of security protocols, including OAuth2, SAML, and API threat protection.
  

Preferred Qualifications

• Experience with Apigee Hybrid or Apigee X in GCP.
• Exposure to AI model lifecycle management and MLOps.
• Certifications in Apigee, Google Cloud, or AI/ML technologies.
• Experience with API monetization and developer experience optimization.
• Exposure to agentic frameworks (Google ADK, LangGraph, CrewAI) and Multi-agent orchestration.
• Knowledge of Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication patterns.
• Working knowledge of Google Cloud Core Infrastructure concepts — networking, IAM, monitoring, and service integration.
• Hands-on experience with Infrastructure as Code (IaC) and Terraform automation.
  

Soft Skills

• Strong problem-solving and analytical skills.
• Excellent communication and stakeholder management.
• Ability to mentor junior developers and lead technical discussions.
  

Employee Type