Job Description :
We are seeking a skilled professional to design and develop intelligent autonomous systems using Agentic AI frameworks. The ideal candidate will have expertise in building autonomous agents, fine-tuning Large Language Models (LLMs), and integrating them into Agentic AI systems.
Key Responsibilities :
- Develop autonomous agents that can operate independently, making decisions based on complex inputs and evolving situations.
- Integrate LLMs into Agentic AI systems for tasks such as language understanding, text generation, and decision-making.
- Optimize LLM performance using techniques like LoRA, QLoRA, PEFT, and continuous model retraining.
- Design and implement memory systems for autonomous agents to retain and leverage information for decision-making.
- Collaborate with cross-functional teams to ensure seamless integration of autonomous agents with external systems.
Required Skills and Qualifications :
Proven experience in Agentic AI frameworks, including LangGraph, AutoGen, Crew AI, or other related platforms.Deep understanding of LLMs, including GPT, T5, BERT, and ability to integrate them into Agentic AI systems.Expertise in advanced Prompt Engineering techniques, particularly for Agentic AI, including Chain of Thought, Tree of Thought, and Chain of Density.Hands-on experience in implementing memory systems for autonomous agents and integrating Knowledge Graphs to help agents retain and leverage information for decision-making.Benefits :
Be part of a team pushing the boundaries of AI-powered autonomous systems.Opportunity to work on cutting-edge technologies and contribute to the development of next-generation autonomous systems.Collaborative and dynamic work environment.