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.
Booz Allen Hamilton provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
