Full Stack Developer AI Enabled Applications

This position requires a FTF interview in MD at teh client site. 

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.

(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.