Full Stack Developer AI Enabled

Your Success is Our Success. Global CI is an award-winning 30-year IT Services company founded on the principles of providing high-quality, value-added technology consulting services. Our vision is to create a better future by improving the lives of the people we serve through emerging technologies. Join us and together we will advance the future of technology services. Global CI offers competitive compensation and non-salary benefits to all eligible employees.

This role will play a critical role in implementing a proof of concept in the production environment and will need to be a hands‑on developer. The ideal candidate is passionate about understanding and experimenting with AI technologies that benefit society while minimizing risks.

• Collaborate with stakeholders to understand and refine customer-provided use cases for Generative AI solutions.
• Design, develop, and implement end‑to‑end Proofs of Concept (PoCs) using Azure AI and AWS Bedrock platforms.
• Build and maintain scalable, secure, and robust web applications, integrating Generative AI models and APIs.
• Develop both front‑end and back‑end components, ensuring seamless user experience and efficient data processing.
• Rapidly prototype and iterate on application features based on feedback and evolving requirements.
• Integrate cloud services and manage deployment pipelines for PoC applications.
• Document technical designs, development processes, and application architecture for knowledge sharing and future reference.
• Collaborate with cross‑functional teams, including data scientists, UI/UX designers, and project managers, to deliver high‑quality solutions.
• Conduct code reviews, testing, and debugging to ensure application reliability and performance.
• Stay current with emerging technologies and best practices in Generative AI and full stack development.

• 5+ years of experience in full stack development, including both front‑end and back‑end technologies.
• 3+ years of experience in Python development. You should be comfortable writing clean, efficient code.
• Hands‑on experience developing applications using cloud platforms such as Microsoft Azure and/or Amazon Web Services.
• Familiarity with Generative AI concepts and experience integrating AI/ML models or APIs into applications.
• Proficiency in programming languages such as Python, JavaScript (Node.js, React, or Angular), or similar technologies.
• Experience with RESTful APIs, microservices architecture, and containerization (e.g., Open Shift or Docker).
• Strong understanding of software development best practices, version control (e.g., Bitbucket), and agile methodologies.
• Excellent problem‑solving skills and ability to work collaboratively in a team environment.
• Clear and effective communication skills are necessary for collaborating with team members, presenting findings, and explaining complex AI concepts to non‑technical stakeholders.

• Selected candidate must be able to obtain and maintain a public trust clearance.
• Selected candidate must be willing to work on‑site in Woodlawn, MD 5 days a week.
• Master's and 5+ years of experience, Bachelor's and 7+ years of experience or 13+ years in lieu of a degree.
• Proficiency in utilizing Microsoft Azure services, with a focus on AI and ML services such as Azure OpenAI, Azure AI Search, and Azure Vision.
• Understanding of fundamental AI and RAG concepts for developing generative AI applications.
• Commitment to ethical AI development, ensuring adherence to principles like fairness, transparency, accountability, and privacy in AI applications.
• Proficient in Python and familiar with current best practices and recent language features.
• Experience with Python web frameworks for building APIs and backend services.
• Strong experience in implementing and consuming RESTful web services.
• Solid experience with software development best practices, including unit testing, continuous integration with tools like Jenkins, and version control with Bitbucket.
• Experience with containerization and orchestration tools like Docker and Open Shift will be beneficial for deployment and scaling applications.
• Familiarity with Azure Dev Ops for automating…