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
- 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