Full Stack Developer - AI-Enabled Applications

We are seeking an experienced and motivated Full Stack Developer to play a critical, hands-on role in designing, developing, and deploying Generative AI-powered proof-of-concept (PoC) applications in a production environment. The ideal candidate is deeply passionate about AI technologies that benefit society, committed to responsible and ethical AI development, and capable of working across the full technology stack-from cloud infrastructure to user-facing interfaces., * 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 stakeholder feedback and evolving requirements.
• Integrate cloud services and manage deployment pipelines for PoC and production applications.
• Document technical designs, development processes, and application architecture for knowledge sharing and future reference.
• Collaborate cross-functionally with data scientists, UI/UX designers, and project managers to deliver high-quality solutions.
• Conduct code reviews, unit testing, and debugging to ensure application reliability, security, and performance.
• Stay current with emerging technologies and best practices in Generative AI and full stack development.

• Master's degree with 5+ years of relevant experience, OR

• Bachelor's degree with 7+ years of relevant experience, OR

• 13+ years of relevant experience in lieu of a degree, * 5+ years of experience in full stack development, including front-end and back-end technologies.

• 3+ years of hands-on Python development; comfortable writing clean, efficient, and well-tested code.

• Hands-on experience developing and deploying applications on Microsoft Azure and/or Amazon Web Services.

• Familiarity with Generative AI concepts and demonstrated experience integrating AI/ML models or APIs into applications.

• Proficiency in Python and JavaScript (Node.js, React, or Angular) or similar modern frameworks.

• Experience with RESTful APIs, microservices architecture, and containerization technologies (e.g., OpenShift, Docker).

• Strong understanding of software development best practices, version control (e.g., Bitbucket), and Agile methodologies.

• Excellent problem-solving skills and proven ability to thrive in a collaborative team environment.

• Clear, effective communication skills-able to present technical findings and explain complex AI concepts to non-technical stakeholders., * Proficiency in Microsoft Azure services with a focus on AI and ML capabilities, including Azure OpenAI, Azure AI Search, and Azure Vision.

• Solid understanding of fundamental AI concepts and Retrieval-Augmented Generation (RAG) for developing generative AI applications.

• Commitment to ethical AI development-adhering to principles of fairness, transparency, accountability, and data privacy.

• Proficient in Python with familiarity with current best practices and recent language features.

• Experience with Python web frameworks for building APIs and backend services (e.g., FastAPI, Flask, Django).

• Strong experience implementing and consuming RESTful web services in production environments.

• Solid experience with CI/CD practices, including unit testing, continuous integration with tools such as Jenkins, and version control using Bitbucket.

• Experience with containerization and orchestration tools such as Docker and OpenShift for deployment and scaling.

• Familiarity with Azure DevOps for automating builds, testing, and deployment within Azure environments.

• Understanding of compliance and security best practices within Azure, particularly regarding sensitive data such as personal disability information., * Familiarity with the Azure OpenAI API and its capabilities for natural language processing (NLP) and generative modeling.

• Advanced knowledge of Azure AI services including Azure Machine Learning, Azure Cognitive Services, Azure Databricks, and Azure Synapse Analytics-particularly in combination with Azure OpenAI frameworks.

• Ability to preprocess, clean, and manipulate data for RAG ingestion pipelines.

• Hands-on experience deploying Generative AI models into production environments on Azure, including containerization, orchestration, monitoring, and security considerations.

• Proficiency in C# and/or Java as supplemental languages.

• Experience with CI/CD best practices and DevOps tooling to accelerate quality releases to production.

• Familiarity with data science tools, libraries, and frameworks such as Jupyter Labs/Notebooks, pandas, and PyTorch.

• Awareness of emerging issues and trends in Generative AI development and Pythonic approaches to leveraging them., * Must be able to obtain and maintain a Public Trust clearance.

• Must be willing and available to work on-site in Woodlawn, MD, five (5) days per week.

• Must be authorized to work in the United States.