ob Description Design and build agentic AI systems integrated with enterprise Java microservices (Spring Boot-based architectures). • Develop and deploy AI agents using frameworks such as LangChain, LangGraph, Bedrock Agents, AutoGen, or CrewAI. • Implement RAG pipelines, prompt engineering techniques, and evaluation frameworks. • Build secure, scalable APIs and backend services using Spring Boot and opinionated Internal Developer Platforms (IDP). • Implement OAuth 2.0, JWT-based authentication, and secure service-to-service identity. • Architect Kubernetes-native applications following 12-Factor principles. • Enable observability using OpenTelemetry (OTEL), logging, tracing, and metrics. • Design centralized configuration and secrets management using HashiCorp Vault or AWS Secrets Manager. • Implement GitOps-based deployment strategies using tools such as ArgoCD. • Build resilient systems using patterns like retries, circuit breakers (Resilience4j). • Implement API security and authorization using RBAC and ABAC models. • Work with service mesh technologies such as Istio for traffic management and security. • Integrate cloud IAM (AWS IAM) and Kubernetes workload identity (IRSA). • Develop event-driven systems using Apache Kafka and schema registry patterns. • Collaborate with product teams, architects, and platform engineers to deliver scalable AI solutions. Must-Have Skills:



• Robust Java and Spring Boot microservices development experience. • Experience in ReactJS • Experience in building cloud-native applications on Kubernetes. • Hands-on experience with OAuth2, JWT, secure API development. • Deep knowledge of distributed systems, fault tolerance, and resilience patterns. • Solid experience with observability tools (OTEL, Prometheus, Grafana). • Strong experience with Kafka-based event-driven architecture. • Hands on with GitOps, CI/CD pipelines, and container platforms. • Proficiency in GraphQL API design and development, including schema design, query optimization, and integration with microservices. • Understanding RAG pipelines, embeddings, and vector databases. • Experience with agentic AI frameworks and LLM-based systems. Good-to-Have Skills: • Exposure to Internal Developer Platforms (IDP) and platform engineering. • Experience with service mesh (Istio) and advanced networking. • Knowledge of multi-cloud deployment (AWS/Azure/GCP). • Exposure agentic UX patterns and conversational APIs. • Familiarity with AI orchestration tools (Azure AI Foundry, Vertex AI, Bedrock). • Exposure to agentic productivity tools (e.g., Cursor, Claude-based tooling, Augment Code) is an advantage. Certifications (Preferred): AWS Developer / Solutions Architect Kubernetes Certification (CKA/CKAD), AWS or Azure AI Certifications

📌 Sr Agentic Full Stack Engineer (1639, 8825) (Bengaluru)
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📍 Bengaluru