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Metro location, mid-level (3-6yrs) GenAI title and strong market demand increase candidate competition.
Specialized GenAI toolset and agentic workflow expertise limits transferability across non-AI-focused roles.
Explicit 3-6 years plus specialized GenAI stack (LangChain, LlamaIndex, agents, MCP) makes shortlisting strict.
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Design and develop generative AI solutions utilizing advanced prompt engineering and agentic workflows including autonomous and self-healing agents.
Build and optimize retrieval-augmented generation (RAG) pipelines and manage knowledge bases to enable accurate and scalable contextual AI responses.
Integrate and orchestrate large language model (LLM)-based applications, including MCP server integration and conversational AI systems with strong reasoning capabilities.
3-6 years of professional experience in relevant AI engineering roles.
Engineering degree (minimum qualification).
Proficiency in Prompt Engineering, Agentic Workflows, Retrieval-Augmented Generation (RAG), LangChain, LlamaIndex, MCP Servers, Conversational AI, Knowledge Base Management.
Strong skills in Python programming and API integration.
Location requirement: Bangalore.
Experienced in managing production-grade AI solutions combining LLM orchestration, autonomous agents, and knowledge retrieval systems.
Capable of independently building and optimizing complex AI workflows involving RAG and conversational AI implementations.
Familiar with cross-functional collaboration to deliver scalable, production-ready AI applications integrating multiple systems and APIs.