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Tier-1 PwC brand, Bangalore metro, mid-level, broad full-stack AI/backend requirements drive high competition.
Requires combined agentic AI and Java microservices expertise, reducing cross-industry transferability.
Explicit 4–7 years plus many mandatory Java, Kubernetes, GenAI, and backend skills enforce high shortlisting strictness.
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Design, develop, and deploy enterprise-grade agentic AI solutions based on Java microservices, cloud-native architecture, and secure scalable platforms.
Build and integrate AI agents using frameworks like LangChain, LangGraph, Bedrock Agents, implement RAG pipelines and prompt engineering within Spring Boot microservices.
Implement secure, resilient backend services with OAuth2/JWT, Kubernetes-native architecture, observability (OTEL), GitOps deployments, and event-driven systems using Kafka.
4 to 7 years of experience in Java microservices and cloud-native applications.
Strong expertise in Java, Spring Boot, Kubernetes, OAuth2, JWT, and secure API development.
Knowledge of Generative AI fundamentals including LLMs, RAG pipelines, and agentic AI landscape.
Degree required: Bachelor of Engineering, MCA, M.Tech, or MBA (Master of Business Administration).
Experienced backend engineer with hands-on skills in agentic AI development and integration within enterprise Java microservices.
Proficient in distributed systems design, resilience patterns, observability tooling, and event-driven architectures using Kafka.
Comfortable working in cloud-native environments implementing security (RBAC/ABAC), service mesh (Istio), GitOps, and multi-cloud deployments.