Senior Application Developer - APIGEE/ AI

8 - 12 years

25 - 30 Lacs

Posted:2 weeks ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

We are seeking a highly skilled and innovative Senior Application Developer with deep expertise in Apigee API Management and a strong understanding of AI integration architectures . The ideal candidate will lead the design and development of a next-generation AI Gateway , enabling secure, scalable, and intelligent API interactions across enterprise systems and AI services.
 
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.

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