Back
Tier-1 brand, metro location, mid-level generalist AI role with broad skills creates high applicant competition.
Role requires specialized LLM and AI-integration expertise, so background transferability is medium.
Explicit 3+ years, mandatory LLM, production AI integrations, and specific tech stacks make screening highly strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, and maintain scalable software applications and AI solutions including backend services, APIs, and cloud-native systems.
Build and deploy production-ready Large Language Model (LLM)-powered applications, AI agents, and Retrieval-Augmented Generation (RAG) pipelines integrating enterprise APIs and data.
Implement AI integration patterns such as Model Context Protocol (MCP), tool-calling workflows, prompt engineering, and AI observability frameworks to improve reliability and performance.
3+ years of professional software engineering experience, including SDLC involvement.
Strong programming skills in Java and Spring Boot or comparable backend technologies.
Experience developing and deploying AI/Generative AI applications integrated with LLMs and AI orchestration frameworks (e.g., LangChain, Google ADK).
Work location requirement: On-site position based in Bengaluru, India.
Experienced in designing multi-agent or agentic AI workflow systems with large language models in enterprise environments.
Proficient in building cloud-native, distributed software ecosystems integrating databases (PostgreSQL, MongoDB, BigQuery) and event streaming (Apache Kafka).
Familiar with AI safety, monitoring, evaluation, and performance optimization techniques within production generative AI applications.