Full Stack Engineer - Generative AI

Join our federal IT client's innovation team to design and deliver cutting-edge Generative AI solutions. You'll work on end-to-end Proof of Concept implementations using Azure AI and AWS Bedrock, collaborating with stakeholders, data scientists, and cross-functional teams to transform customer use cases into scalable, production-ready applications. This is your opportunity to shape the future of AI-powered enterprise solutions while maintaining the highest standards of security, compliance, and ethical AI development.

What You Will Do

• 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
• Conduct code reviews, testing, and debugging to ensure application reliability and performance
• Collaborate with data scientists, UI/UX designers, and project managers to deliver high-quality solutions
• Document technical designs, development processes, and application architecture for knowledge sharing
• Stay current with emerging technologies and best practices in Generative AI and full stack development

Required

• 5+ years of full stack development experience (front-end and back-end technologies)
• 3+ years of Python development with clean, efficient code writing practices
• Hands-on experience with Microsoft Azure and/or Amazon Web Services
• Familiarity with Generative AI concepts and experience integrating AI/ML models or APIs
• Proficiency in Python, JavaScript (Node.js, React, or Angular), or similar technologies
• Experience with RESTful APIs, microservices architecture, and containerization (Docker, OpenShift)
• Strong software development best practices, version control (Git/Bitbucket), and Agile methodologies
• Azure services proficiency with focus on Azure OpenAI, Azure AI Search, and Azure Vision
• Solid understanding of AI and RAG (Retrieval Augmented Generation) concepts
• Python web frameworks experience for building APIs and backend services
• Unit testing, CI/CD (Jenkins), and version control (Bitbucket) expertise
• Azure DevOps familiarity for automating builds, testing, and deployment
• Understanding of compliance and security best practices for handling sensitive federal data

Preferred

• Hands-on experience with Azure OpenAI API for NLP and generative modeling
• Mastery of Azure Machine Learning, Azure Cognitive Services, Azure Databricks, and Azure Synapse Analytics
• Experience preprocessing and cleaning data for RAG ingestion
• Production deployment experience with Generative AI models on Azure infrastructure
• Proficiency in C# and Java
• Familiarity with data science tools and frameworks (Jupyter Labs, pandas, PyTorch)
• Awareness of current issues and trends in Generative AI development