IN_Senior Associate_Agentic AI Engineer_GCC_Advisory_Bangalore
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Protocol Intelligence
Data-driven signals on your job's competitivenessProminent firm, mid-level Bangalore role with broad skills and common experience range increases competition.
Hybrid backend and ML skills transfer across industries, but agentic AI specialization raises domain sensitivity to medium.
Mandatory 4–8 years plus extensive Java, Kubernetes, LLM, security and API requirements make shortlisting highly strict.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and deploy enterprise-grade agentic AI solutions using Java microservices and cloud-native, secure, scalable platforms.
Implement and maintain AI agents with frameworks like LangChain, LangGraph, Bedrock Agents, AutoGen, or CrewAI, including RAG pipelines and prompt engineering.
Build and operate resilient, secure distributed systems with Kubernetes-native applications, GitOps CI/CD pipelines, observability tools, and event-driven architecture using Kafka.
Minimum Requirements
4 to 8 years of work experience in relevant technologies.
Strong Java and Spring Boot microservices development skills.
Experience with Kubernetes-native cloud applications, OAuth2, JWT, secure API development, distributed systems resilience patterns, and Kafka event-driven architecture.
Bachelor's or Master's degree in Engineering, MCA, or MBA in a relevant field.
Ideal Candidate Profile
Proven experience delivering production-ready agentic AI systems integrated into enterprise Java microservices architecture.
Strong backend engineering foundation with hands-on expertise in observability (OTEL, Prometheus), service mesh (Istio), and GitOps deployment.
Familiarity with GenAI concepts, prompt engineering, RAG pipelines, and working knowledge of AI orchestration tools and frameworks (LangGraph, CrewAI).