Job description

Job Title: AI GPT Senior Data Scientist/Developer Location: Remote (Washington DC / Northern VA / MD – Local candidates only) Duration: 9 Months (Extension Likely) Overview We are seeking an experienced AI GPT Senior Data Scientist/Developer to join our team. The ideal candidate will bring innovative ideas to solve complex technical and procedural challenges, while working in an Agile Scrum environment. This role requires adaptability, creativity, and the ability to collaborate effectively with a geographically dispersed, technically diverse team. Key Responsibilities Contribute to the development and implementation of business solutions that address requirements, optimize efficiency, and deliver seamless content. Design, implement, and deploy machine learning systems to improve and streamline operations. Write reusable, high-quality code to solve real-world problems. Integrate with cloud services to tackle large-scale data extraction, analysis, and document search challenges. Support development across: Web application infrastructure Relational database systems (e.g., PostgreSQL) Security documentation LLM orchestration (tool/agent integration) Prompt engineering Required Qualifications & Experience Active Public Trust Clearance or ability to obtain one. Master’s Degree with 15+ years of technical experience. 6–8 years of application development experience. Proven experience in client-server, distributed systems, and cloud computing. Hands-on experience with AI/ML models, chatbots, and robotics to drive innovation and diverse business outcomes. Strong collaboration skills with the ability to thrive in fast-paced, dynamic environments. Capable of working independently with minimal supervision. Required Technical Skills Python TypeScript Other object-oriented programming languages React.js Cloud architecture expertise Large Language Models (LLM) and Retrieval-Augmented Generation (RAG) architecture Additional Technical Skills Web application infrastructure Security documentation LLM orchestration (tool/agent integration) Prompt engineering Database management (SQL & NoSQL) API development and integration Natural Language Processing (NLP) Containerization (Docker, Kubernetes) CI/CD pipelines Monitoring & logging tools (ELK stack, Prometheus, Azure Analytics) Knowledge of privacy and security measures for sensitive data

Requirements