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Metro Bangalore location increases candidate density, but niche GenAI/LangChain requirements moderate competition.
Generative AI and LLM engineering skills are broadly transferable across industries, so background sensitivity is low.
Explicit 7.5–12 years and mandatory GenAI/LLM/LangChain expertise create stringent shortlisting filters.
Design, develop, and deploy enterprise-grade Generative AI and Agentic AI solutions using LLM frameworks including LangChain and LangGraph.
Build and optimize Retrieval Augmented Generation (RAG) architectures, prompt engineering, and intelligent multi-agent systems with tool integrations and memory-driven architectures.
Establish evaluation, monitoring, and observability frameworks using LangSmith tools and collaborate with teams to productionize scalable, secure AI/ML applications.
7.5 to 12 years of experience in Data Science, Machine Learning, and Artificial Intelligence.
Strong hands-on experience with Generative AI, Large Language Models, LangChain, LangGraph, and RAG implementations.
Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.
Notice period: 30 days or less with ability to join within one month.
Experienced in building scalable GenAI applications in enterprise environments and integrating AI agents with APIs and external tools.
Skilled at applying advanced prompt engineering, multi-agent system design, and memory architectures for AI solutions.
Capable of driving MLOps practices including model monitoring, drift detection, and continuous improvement in AI/ML production systems.