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IBM
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Advisory Engineer

Advisory Engineer

IBM

10 - 12 years

7 - 12 Lacs

Bengaluru

Posted:Just now| Platform:

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Skills Required

compliance kubernetes rest python github ai llm cloud native microservices docker ai engineer spring boot memory management java apis saas devops ai development jenkins data privacy software engineering architecture azure

Work Mode

Work from Office

Job Type

Full Time

Job Description

Your Role and ResponsibilitiesWere hiring a seasoned Senior Java AI Engineer to design, build, and scale Agentic AI solutions integrated into enterprise-grade Java services. Youll lead the architecture and development of LLM-powered agents using LangChain and LangGraph, implement and deliver reliable, secure AI capabilities in production. Strong command of Java is required, with practical Python skills for AI orchestration and pipelines.
Key Responsibilities

Develop and maintain Java-based SaaS applications with Spring Boot, microservices, and REST/gRPC APIs
Optimize JVM performance and memory management (GC tuning, heap/metaspace sizing, leak detection).
Collaborate with cross-functional teams to integrate AI capabilities into SaaS products securely and efficiently.
Design and implement Agentic AI systems using frameworks like LangChain/ LangGraph for autonomous workflows and tool orchestration.
Ensure cloud-native deployments using Docker, Kubernetes, and CI/CD pipelines.

Required education

Bachelor's Degree

Required technical and professional expertise

10-12 years of software engineering experience with deep expertise in Java (Java 11/17+), Spring Boot, and microservices.
Hands-on Agentic AI development using LangChain and LangGraph (2+ years), including tool orchestration, planning, memory, and guardrails.
Strong Python skills for LLM integration, data/embedding pipelines, and orchestration scripts.
JVM performance & memory expertise( heap/metaspace management, profiling (JFR/JMC/async-profiler), leak analysis (Eclipse MAT))
Production experience with Docker, Kubernetes, CI/CD (GitHub Actions/Jenkins/Azure DevOps), and observability tooling.
Solid understanding of data privacy, compliance, and AI safety in enterprise environments.

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Advisory Engineer