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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