Sr. Python Full Stack Developer wit AI - MD Onsite

Role: Sr. Python Full Stack Developer with AI

Location: Woodlawn, MD (Onsite)

ONSITE Interview 2nd/ final round

6-8 week suitability process must be in the US since the last 3 years minimum

• 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

• 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.

• 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.
• 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.

• 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.

• 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.