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Gen AI/Agentic AI Engineer

Canorous Technologies Private Limited

2 - 5 years

Coimbatore

Posted: 15/03/2026

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Job Description

Company Description

Canorous Technologies Private Limited, based in Coimbatore, India, specializes in real-time architectural visualization and immersive digital solutions. The company excels in creating high-quality Unreal Enginebased 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:

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.

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