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AI Solutions Developer - RAG - StaffRight Associates, LLC
Software Engineer
Lead the design and deployment of Retrieval-Augmented Generation (RAG) pipelines for drug discovery, leveraging Python, LLMs, NLP, and cloud infrastructure to deliver scalable, high‑performance AI solutions.
About the role
Key Responsibilities
- Architect and implement end‑to‑end RAG systems, integrating large language models with domain‑specific knowledge bases for drug discovery.
- Develop and maintain Python‑based data pipelines, ensuring efficient retrieval, embedding, and generation workflows.
- Collaborate with cross‑functional teams to translate research insights into production‑ready AI services on AWS.
- Containerize applications using Docker, manage CI/CD pipelines, and monitor performance in a cloud environment.
- Document models, experiments, and best practices; contribute to open‑source tooling where appropriate.
Requirements
- Strong experience with LLMs (e.g., GPT‑4, Llama) and RAG architectures.
- Proficiency in Python, NLP libraries (Transformers, Haystack), and cloud services (AWS).
- Hands‑on knowledge of Docker, Git, and CI/CD workflows.
- Excellent problem‑solving skills and a passion for applying AI to scientific research.
- Effective communication and ability to work in a fast‑paced, collaborative environment.
Skills
pythonragllmnlpawsdocker