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Job Title


Gen AI/Agentic AI Engineer


Company : Canorous Technologies Private Limited


Location : Lucknow, Uttar pradesh


Created : 2026-03-20


Job Type : Full Time


Job Description

Company DescriptionCanorous Technologies Private Limited, based in Coimbatore, India, specializes in Real Estate web development with Gen AI application and Agentic AI build home through architectural visualization and immersive digital solutions. The company excels in creating high-quality Unreal Engine–based walkthroughs, interactive design visualizations, and AR/VR experiences, enabling clients to visualize projects with exceptional clarity before execution. By using cutting-edge real-time technology and AI-driven workflows, the team delivers engaging and innovative solutions tailored to client needs. Canorous Technologies aims to bridge the gap between design and experience with its reliable, future-ready visualization expertise. Role Description:We are looking for 8+ experience Gen AI, Agentic AI, and Multi-Agent system jobs focus on building intelligent systems that move beyond content creation (GenAI) to autonomous, goal-oriented decision-making (Agentic) and collaborative, multi-step workflows (Multi-Agent). Key roles involve engineering AI using frameworks like LangChain, AutoGen, and LangGraph.Key Job Roles & Responsibilities:AI Engineer - GenAI & Agentic Systems: Design, implement, and deploy advanced AI-powered solutions, focusing on LLM orchestration, Retrieval-Augmented Generation (RAG), and vector databases.Agentic AI Developer: Develop, test, and maintain autonomous agents that can plan, reason, and act to achieve complex goals, including integrating agents with external systems.Multi-Agent System Specialist: Build, orchestrate, and optimize collaborative teams of specialized AI agents, enabling them to negotiate, share information, and execute complex workflows.AI Product Manager/Lead: Define the strategic vision for AI agent solutions, ensuring alignment with client business objectives, and managing AI safety and governance.Required Skills & Technologies:Frameworks & Libraries: LangChain, LangGraph, AutoGen, CrewAI, LlamaIndex.AI/ML Concepts: Large Language Models (LLMs), Prompt Engineering, Vector Databases, RAG, Reinforcement Learning.Technical Skills: Python, Node.js, React, API integration, Database management.Domain Expertise: Familiarity with autonomous decision-making systems and multi-agent systems.Common Responsibilities:Building Autonomous Agents: Creating agents that can plan, reason, and act on their own.Multi-Agent Coordination: Designing systems where multiple agents work together to solve complex problems.System Integration: Connecting AI agents to external systems and databases to perform actions.Monitoring & Optimization: Tracking agent performance using tools like LangSmith or Splunk.RAG Implementation: Building retrieval-based systems to enhance AI knowledge.Ethical AI: Ensuring fairness and safety in autonomous systems.