Position Title: Full Stack Developer AI Enabled Applications

Location:  Woodlawn MD Onsite role H1B is fine

Key Required Skills

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.

Position Description

• 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.

Detailed Skills Requirements

Foundation for Success (Basic Qualifications)

• 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., OpenShift 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.

Factors To Help You Shine (Required Skills)?**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 OpenShift will be beneficial for deployment and scaling applications.
• Familiarity with Azure DevOps 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.