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Tier-1 brand, mid-level experience band, and Bangalore location increase candidate competition.
Specialized agentic AI plus Java microservices and cloud-native requirements limit cross-industry transferability.
Explicit 4–7 years plus many mandatory Java, cloud, AI, and security skills enforces strict filtering.
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Lead design, development, and deployment of agentic AI solutions based on Java Spring Boot microservices within cloud-native, secure, and scalable platforms.
Develop AI agents using frameworks like LangChain, Bedrock Agents, AutoGen; implement RAG pipelines, prompt engineering, and evaluation frameworks.
Build and maintain resilient, secure backend services and APIs with Kubernetes-native architecture, OAuth2/JWT security, event-driven systems (Kafka), observability (OTEL), and GitOps deployment.
4 to 7 years of relevant experience in Java microservices and cloud-native backend development.
Strong proficiency with Java Spring Boot, Kubernetes, OAuth2/JWT security, Kafka event-driven architecture, and observability tools (OpenTelemetry, Prometheus, Grafana).
Experience designing and deploying cloud-native applications with secure API development and resilience patterns (retries, circuit breakers).
Bachelor’s degree in Engineering or MBA; relevant AI/Cloud certifications preferred but not mandatory.
Experienced in combining agentic AI frameworks (LangChain, LangGraph, CrewAI) with modern backend microservices engineering.
Capable of end-to-end AI system design including RAG pipelines, prompt engineering, and deployment in production environments.
Familiar with cloud IAM, service mesh (Istio), GitOps CI/CD pipelines, NoSQL databases, and integrating full-stack AI and application layers with ReactJS.