Description

What You'll Do:

• Design and develop AI and Generative AI architecture solutions that meet business requirements.
• Design modular, scalable, and secure agentic systems that integrate seamlessly with other agentic AI systems.
• Lead the development of multi-agent systems for autonomous process execution, exception handling, and decision support.
• Utilize platforms such as LangChain, LangGrapgh, CrewAI, or custom orchestration layers to build intelligent agent networks.
   

Expertise You'll Bring:

• Deep expertise in AgenticAI, LLM orchestration, and autonomous agent frameworks.
• Experience with LangChain, LangGrapgh, or CrewAI.
• Develop versatile AI models that can be adapted for multiple use cases.
• Implement and optimize NLP, LLM-powered reasoning, planning, and tool-use capabilities
• Build RAG pipelines and knowledge retrieval systems to ground agents in enterprise context
• Fine-tune and evaluate LLMs for domain-specific tasks
• Lead the technical design and development of AI/Gen AI-powered projects.
• Integrate and enhance existing tools and systems to leverage AI/Gen AI capabilities
• Expert in Python and experience in .Net is a plus.
• Ensure the scalability, performance, and security of solutions

Key Skills

Education

Any Graduate