The role involves driving the evolution of enterprise applications by embedding multi-step Large Language Model reasoning. The engineer will build intelligent AI agents and integrate them into a large-scale Java and Spring Boot ecosystem. Responsibilities include constructing complex Retrieval-Augmented Generation pipelines and autonomous agents. The position requires establishing enterprise guardrails, evaluation metrics, and engineering standards for deploying AI into regulated business workflows. Additionally, the role entails mentoring development teams on architectural decision-making and operationalizing AI models.

The role requires a minimum of eight years of progressive software engineering experience with a strong foundation in enterprise Java and Spring Boot. Candidates must possess deep hands-on expertise in Agentic AI frameworks, specifically LangChain and LangGraph, as well as prompt engineering. Proficiency in building and scaling Retrieval-Augmented Generation pipelines, working with Vector Databases, and implementing AI evaluation frameworks like DeepEval is necessary. Furthermore, the position demands a background in distributed systems and event-driven architectures to ensure the creation of resilient, production-ready systems.