Senior Agentic AI Developer

What You'll Do

• Design, develop, and deploy multi-agent systems and agentic applications using frameworks like AutoGen, LangGraph, CrewAI, or similar
• Build intelligent workflow orchestration systems that enable autonomous decision-making and task execution
• Implement Agent-to-Agent (A2A) communication protocols and Model Context Protocol (MCP) for seamless agent collaboration
• Develop automation solutions using OpenAPI standards for integration with enterprise systems
• Create self-healing, adaptive workflows that optimize business processes autonomously
• Use ML, deep learning, and Generative AI tools to design, evangelize, and implement state-of-the-art solutions
• Define and implement best practices for building, testing, and deploying scalable AI solutions, with a focus on generative models and LLMs using proprietary or open-source models
• Drive successful business outcomes by designing and building cloud-hosted Generative AI solutions
• Work closely with internal teams to integrate RAG workflows, agent-based systems, and automation frameworks into applications
• Design and implement architectural solutions for Information Retrieval using RAG, Vector DBs, and Knowledge Graphs
• Work with public cloud (AWS) and on-premises infrastructure for deploying LLMs, agents, and orchestration systems
• Evaluate, build, and fine-tune ML models and LLMs to solve complex business problems
• Stay abreast of latest developments in agentic AI, autonomous systems, language models, and generative AI technologies.

What You'll Need

Required:

• BE, Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or equivalent practical experience
• 7+ years of overall technical experience with 5 years of hands-on experience in Generative AI and LLM technologies
• 3+ years of experience building agentic systems, workflow automation, or autonomous AI applications

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