Overview
Skills
Job Details
Job Title: AI GPT Senior Data Scientist/Developer
Location: Remote (Local to Washington DC / Northern VA / MD only)
Duration: 9 Months (Extension Likely)
Overview
We are seeking an AI GPT Senior Data Scientist/Developer to join an innovative team working on cutting-edge AI technologies. The ideal candidate will bring creative problem-solving skills, adaptability, and a strong technical background to support the development of advanced AI/ML solutions. This role requires collaboration within an Agile Scrum team and the ability to contribute to the design and implementation of scalable systems leveraging Large Language Models (LLMs).
Key Responsibilities
Serve as a key contributor in developing and implementing AI-driven business solutions to optimize operations and deliver real-time content.
Design and implement machine learning systems to improve and streamline workflows.
Write clean, reusable, and efficient code to solve technical challenges.
Integrate with existing cloud services to enable large-scale data analysis and document search capabilities.
Collaborate on web application infrastructure and database integration.
Contribute to security documentation and compliance requirements.
Work with LLM orchestration, agents, and prompt engineering to support advanced AI applications.
Required Qualifications & Experience
Active Public Trust Clearance (or ability to obtain).
Master s degree and 15+ years of technical experience.
6 8 years of application development experience.
Proven experience with client-server, distributed systems, and cloud computing.
Hands-on expertise with AI/ML models, chatbots, robotics, and LLMs.
Ability to thrive in a fast-paced, evolving environment with minimal supervision.
Strong collaboration and communication skills.
Required Technical Skills
Python
TypeScript
Other object-oriented programming languages
React.js
Cloud Architecture (AWS/Azure/Google Cloud Platform)
Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) architecture
Additional Technical Skills
Web application infrastructure
Security documentation and compliance
LLM orchestration (tools/agents) and prompt engineering
Database management (SQL & NoSQL)
API development and integration
Natural Language Processing (NLP) techniques
Containerization (Docker, Kubernetes)
CI/CD pipelines
Monitoring & logging tools (ELK Stack, Prometheus, Azure Analytics)
Knowledge of data privacy and security measures for sensitive data