Job Summary
The role involves designing and developing autonomous, goal-driven multi-agent AI systems utilizing frameworks such as LangChain and AutoGen. The position emphasizes the creation of sophisticated Retrieval-Augmented Generation (RAG) pipelines and the fine-tuning of Small Language Models aimed at deployment on edge devices to enhance reasoning abilities and improve task resolution.
Responsibilities
- Design and implement multi-agent AI systems.
- Develop advanced RAG pipelines.
- Fine-tune Small Language Models for edge deployment.
- Enhance reasoning and task-solving proficiency within AI systems.
Qualifications
- Minimum of 2 years of experience in software development.
- Experience in building production-grade Machine Learning solutions, particularly in GenAI and agentic workflows.
- Must possess a TS/SCI clearance with a polygraph.
- A bachelor’s degree in a relevant field.
