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Strong employer brand, generic senior engineer title, mid-level experience range, and Bangalore location increase candidate competition.
Role requires specialized LLM/RAG and platform engineering experience, limiting transferability across unrelated industries.
Explicit 4-7 years plus mandatory LLM, Java, Spring Boot, RAG, and observability requirements make filters highly strict.
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Design, build, and operate production-grade AI-powered engineering platforms using LLMs and distributed systems.
Develop and maintain scalable backend services with Java and Spring Boot, ensuring platform reliability, security, and performance.
Lead architectural decisions, mentor engineers, and collaborate cross-functionally to improve platform capabilities and onboard teams.
4 - 7 years of professional software engineering experience with production software delivery.
Proven experience building and shipping at least two AI-powered applications or platform capabilities in production.
Strong expertise in Java (17+ preferred), Spring Boot, REST APIs, microservices, and cloud-native distributed systems.
Practical, production experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI agent frameworks (e.g., LangChain, MCP).
Experienced platform-level engineer who thinks beyond features to system-wide design and scalability.
Hands-on with modern AI technologies and strong software engineering fundamentals focused on maintainability and reliability.
Capable of taking end-to-end ownership including design, production deployment, mentoring, and production support in a complex, distributed AI platform environment.