Full Stack Developer AI Enabled

Full Stack Developer for AI Enabled Applications

Security Clearance: Public Trust (Must be able to obtain)

Job Type: Full-Time

Target Salary Range: $150,000 - $180,000

* This represents the potential salary range for this position depending on education level, years of experience and/or certifications in addition to other position specific requirements which may impact salary

This role will play a critical role in implementing a proof of concept in the production environment and will needs 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.

• Master's and 5+ years of experience, Bachelor's and 7+ years of experience or 13+ years in lieu of a degree

• 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.
• 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.

• 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 builds, testing, and deployment processes within Azure.
• Understanding of compliance and security best practices within Azure, especially concerning handling sensitive data such as personal disability information.

• Familiarity with the Azure OpenAI API and its capabilities for natural language processing (NLP) and generative…