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Generative Ai Engineer (Thrissur)

MSH (India) · Thrissur

📅 19/08/2026
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Job Title: AI Engineer Generative AI Location: India (Remote/Hybrid) Experience: 410 years Employment Type: Freelancing/Contractual Role Overview We are seeking a highly capable AI Engineer with expertise in Generative AI, conversational AI, and agentic systems to build next-generation intelligent applications. This role involves designing chatbots, copilots, and autonomous AI agents using LLMs like GPT and Claude, combined with RAG pipelines and orchestration frameworks such as Lang Chain and Lang Graph. You will be responsible for developing scalable, production-grade AI systems that can reason, act, and interact with users and enterprise systems. Key Responsibilities Design and develop AI-powered chatbots and conversational assistants for enterprise use cases Build and deploy agentic AI systems capable of multi-step reasoning, tool usage, and autonomous decision-making Develop RAG (Retrieval-Augmented Generation) pipelines for knowledge-grounded responses Implement orchestration workflows using Lang Chain and Lang Graph for agent-based architectures Integrate chatbots with enterprise platforms (CRM, ERP, ticketing systems, databases, APIs) Design multi-agent systems with task delegation, memory, and tool execution capabilities Develop backend services and APIs using Python (Rapid API/Flask) Optimize prompts, memory, and context handling for conversational accuracy and efficiency Implement conversation flows, guardrails, and fallback mechanisms Ensure responsible AI practices including security, privacy, and hallucination mitigation Collaborate with product, design, and business teams to deliver impactful AI solutions Required Skills & Qualifications 4+ years of software development experience with strong proficiency in Python Hands-on experience building chatbots or conversational AI systems using LLMs (GPT, Claude) Strong understanding of agentic AI frameworks and autonomous workflows Experience with Lang Chain and/or Lang Graph for building agents and workflo .
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