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PwC brand, mid-level experience band, and Bangalore metro create high applicant competition density.
Strong agentic AI and Java microservices focus is transferable but requires specific ML/agent production experience.
Explicit 4–7 years plus many mandatory technical skills and security/cloud requirements increase shortlisting rigidity.
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Lead design, development, and deployment of enterprise-grade agentic AI solutions based on Java microservices and cloud-native architecture.
Develop and implement AI agents using frameworks such as LangChain, LangGraph, and build secure, scalable backend services via Spring Boot and Kubernetes-native principles.
Ensure system resilience, security (OAuth 2.0, JWT), observability (OpenTelemetry), and GitOps-based deployment including event-driven architecture with Apache Kafka.
4 to 7 years of relevant work experience.
Strong expertise in Java and Spring Boot microservices development.
Experience with cloud-native applications on Kubernetes including OAuth2, JWT, and secure API development.
Familiarity with GenAI fundamentals including LLMs, RAG pipelines and agentic AI frameworks.
Experienced in integrating advanced AI technologies within enterprise-grade backend systems using secure and scalable microservices.
Proficient in distributed systems, observability tools, event-driven architecture, and GitOps CI/CD deployment.
Has hands-on knowledge of both AI agent frameworks and cloud infrastructure to deliver production-ready AI solutions in a fast-evolving environment.