Gen AI Engineer (LLM, LangChain, AI Agents) We are seeking a Gen AI Engineer with strong expertise in Python, Large Language Models (LLMs), and AI agent development using LangChain. The ideal candidate will be responsible for designing, building, and deploying AI-powered solutions, including intelligent agents, custom tools, and scalable architectures. This role requires a blend of hands-on coding, innovation, and architectural thinking to deliver cutting-edge Generative AI applications. Key ResponsibilitiesAI & GenAI Development Design and develop AI-powered applications using Large Language Models (LLMs) Build and deploy intelligent AI agents using LangChain framework Develop custom tools and integrations for AI agents (MCPs / tool-based extensions) Architecture & Solution DesignDesign scalable Gen AI architectures and workflows Implement end-to-end solutions including: Prompt engineering Context management Retrieval-Augmented Generation (RAG) Ensure performance, scalability, and reliability of AI systems Agent Development & Orchestration Program and orchestrate multi-agent systems Build custom connectors/tools for enhanced agent capabilities Optimize agent performance and response quality Innovation & Research Explore and implement new advancements in Generative AI and LLM ecosystems Continuously improve models, prompts, and workflows Prototype innovative AI use cases and solutions Collaboration & Delivery Collaborate with cross-functional teams (Product, Data, Engineering) Translate business requirements into AI-driven solutions Participate in Agile development and code reviews Required Skills & Experience8–10 years of experience in software engineering / AI development Strong expertise in: Python (mandatory) Generative AI / LLMsHands-on experience with: LangChain frameworkAI Agent development Custom tool / MCP development for agents Strong understanding of: Prompt engineeringRAG (Retrieval-Augmented Generation)AI workflows and orchestration Technical Skills Programming: Python Frameworks: LangChain (mandatory)AI: LLMs (OpenAI, open-source models, etc.)Concepts: AI Agents, RAG, Prompt EngineeringAPIs: REST / JSON integrations