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Tier-1 brand, metro location, mid-level AI/backend role with broad required skillset increases competitive density.
Requires combined agentic AI and Java microservices expertise, limiting transferability across non-AI or pure frontend/backend roles.
Explicit 4–7 years plus many mandatory technologies (Java/Spring, Kubernetes, Kafka, observability, security, RAG/LLMs) enforces strict filtering.
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Design, develop, and deploy enterprise-grade agentic AI solutions using Java microservices and cloud-native architecture.
Build secure, scalable backend APIs and services with Spring Boot, implement OAuth2, JWT, and Kubernetes-native applications following 12-Factor principles.
Implement observability, resilience patterns, GitOps deployment, and develop event-driven systems leveraging Apache Kafka with collaboration across teams.
4 to 7 years of work experience.
Strong Java and Spring Boot microservices development experience mandatory.
Experience building cloud-native applications on Kubernetes; hands-on with OAuth2, JWT, API security.
Bachelor's degree required: BE/BTech/MCA/MTech/MBA (preferably Engineering or MBA).
Experienced in distributed systems architecture with strong focus on agentic AI and generative AI agents.
Hands-on in developing secure, resilient, and observable microservices with modern DevOps practices (GitOps, CI/CD).
Knowledge of GenAI fundamentals including LLMs, RAG pipelines, and practical exposure to frameworks like LangChain, LangGraph, or CrewAI.