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Tier-1 employer and metro Bengaluru increase applicant density, but niche LLM specialization limits breadth.
Specialized LLM and agentic engineering skills reduce cross-industry transferability.
Explicit 8+ years and required production LLM experience make filters highly selective.
Lead design and delivery of AI-native systems solving real product and business challenges using LLMs and agentic systems.
Architect and scale Retrieval-Augmented Generation (RAG) pipelines and agentic workflows for production accuracy and latency.
Own prompt engineering, build evaluation frameworks, and drive AI-related technical decisions across teams.
Bachelor's degree in Computer Science or related technical discipline or equivalent practical experience.
8+ years of software engineering experience, including 2+ years hands-on building applied AI/LLM-based systems in production.
Experience with designing and deploying scalable AI systems involving multi-step reasoning, tool use, and orchestration.
Work Location: Hybrid (home and LinkedIn office) as per business needs.
Experience in architecting and shipping complex agentic workflows and RAG systems at scale in consumer or enterprise products.
Proven expertise in prompt engineering, AI system evaluation frameworks, and practical application of LLM/agent technologies.
Ability to translate ambiguous AI opportunities into scoped, production-grade solutions and mentor senior engineers on advanced applied AI practices.