Overview
Design, develop, and deploy enterprise-grade agentic AI solutions using Java microservices, cloud-native architecture, and secure, scalable platforms. The role combines agentic AI engineering with backend engineering and integrated application layers.
What you'll do
- Design and build agentic AI systems integrated with Spring Boot microservices.
- Develop and deploy AI agents using frameworks such as LangChain, LangGraph, Bedrock Agents, AutoGen, or CrewAI.
- Implement RAG pipelines, prompt engineering, and evaluation frameworks.
- Build secure APIs and backend services using Spring Boot and internal developer platforms.
- Architect Kubernetes-native applications and enable observability with OpenTelemetry, logging, tracing, and metrics.
- Implement GitOps deployments, resilience patterns, API authorization, and cloud workload identity.
- Develop event-driven systems using Apache Kafka and collaborate on scalable AI solutions.
What you'll need
- 4 to 8 years of experience.
- Strong Java and Spring Boot microservices development experience.
- Experience building cloud-native applications on Kubernetes.
- Hands-on experience with OAuth2, JWT, secure APIs, GitOps, CI/CD, and container platforms.
- Strong knowledge of distributed systems, resilience patterns, observability tools, and Kafka-based architecture.
- Proficiency in GraphQL and experience with ReactJS and NoSQL databases.
- Understanding of LLMs, RAG pipelines, and the agentic AI landscape.
Nice to have
- Exposure to internal developer platforms, Istio, multi-cloud deployment, and agentic AI systems in production.
- Certifications such as AWS Developer, Solutions Architect, CKA/CKAD, or AWS/Azure AI certifications.
Details
- Location: Bengaluru.
- Travel requirements: Not specified.
- Work visa sponsorship: Not available.
Read the full description and apply on the company’s own careers page.
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