Back
Tier-1 employer, Bangalore metro, mid-level AI role, and broad full-stack skillset amplify competition.
Combined GenAI and Java microservices expertise makes the role highly domain-specific and less transferable.
Explicit 4–7 years plus mandatory Java, Kubernetes, Kafka, security, and GenAI skills make filters strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, and deploy enterprise-grade agentic AI solutions using Java microservices and cloud-native architecture.
Implement secure, scalable backend services and APIs with Spring Boot, OAuth 2.0, JWT, Kubernetes, and GitOps deployment methodologies.
Collaborate on resilient, observable AI systems with event-driven architectures (Kafka) and AI integration frameworks such as LangChain and Bedrock Agents.
4 to 7 years of relevant work experience in AI engineering and backend development.
Strong proficiency in Java and Spring Boot microservices development.
Experience with Kubernetes, OAuth2, JWT, and secure API development.
Bachelor's degree in Engineering (BE/BTech) or related field; MBA also accepted.
Experienced in cloud-native, distributed, and resilient backend systems engineering.
Familiar with generative AI concepts including LLMs, retrieval-augmented generation (RAG), and agentic AI frameworks (e.g., LangGraph, CrewAI).
Skilled in observability tooling (OpenTelemetry, Prometheus), and event-driven architectures using Kafka, with knowledge of service mesh (Istio) and GitOps deployment practices.