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This role is pivotal in leveraging Large Language Models (LLMs) and advanced agentic frameworks to create autonomous AI systems that transform business processes(Agentic Process Automation).
• Design, develop, and deploy cutting-edge AI agents and multi-agent systems within the organisations techstack
• Implement robust agentic architectures using frameworks like LangChain and LangGraph.
• Integrate LLMs with various external systems, APIs, and databases (SQL/NoSQL) to orchestrate complex, intelligent workflows.
• Apply advanced prompt engineering, Retrieval-Augmented Generation (RAG) techniques, and model fine-tuning for agent accuracy and performance.
• Ensure solutions are scalable, secure, and contribute directly to business objectives.
Requirements
• Degree in Computer Science or related field.
• 5+ years in software and AI development, with significant experience in agentic AI.
• Expertise in Python, including LLM-centric libraries
• Proficiency with LangChain, LangGraph, LlamaIndex, n8n, UiPath.
• Proven experience with API integrations and database management (SQL/NoSQL).
• Strong understanding of RAG, prompt engineering, multi-agent system design Certifications
(Preferred):
• UiPath Certified Professional (Specialized AI or Automation Developer)
• Relevant certifications
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