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Niche Agentic AI senior role with specialized LLM/RAG skills reduces candidate density despite Bangalore location.
Highly specialized Agentic AI, LLM, and data engineering requirements reduce cross-industry transferability.
Explicit 8–12 years plus mandatory Agentic AI, LLM, data engineering, and cloud skills increases shortlisting strictness.
Design, develop, and deploy autonomous AI agent solutions and multi-agent systems using modern Agentic AI frameworks for enterprise applications.
Build RAG applications leveraging vector databases, embeddings, and semantic search, integrating AI agents with enterprise APIs and services.
Design and maintain scalable ETL/ELT pipelines for structured and unstructured data, optimizing AI applications for performance, scalability, reliability, and cost.
8-12 years of software engineering experience with strong AI/ML and Data Engineering expertise.
Bachelor's (BE/B.Tech) or Master's degree in Computer Science or related field.
Proficiency in Python and SQL programming.
Hands-on experience with Agentic AI, LLMs, RAG, vector databases, semantic search, and frameworks like LangChain, LangGraph, CrewAI, AutoGen, or Semantic Kernel.
Experience with cloud platforms (Azure, AWS, or GCP) and CI/CD practices.
Proven experience building and deploying autonomous AI agents and GenAI applications using large language models from OpenAI, Anthropic, Gemini, or open-source variants.
Strong background in both AI/ML development and data engineering, capable of handling end-to-end AI solution lifecycles including prompt engineering, AI safety, and observability.
Comfortable working in hybrid Bangalore location in cross-functional teams integrating AI solutions with enterprise systems and cloud environments.