AI Developer - Microsoft Azure & Full Stack Development

Position: AI Developer - Microsoft Azure & Full Stack Development
Location: Newark/Milpitas/San Jose, CA - Sandy/Salt Lake, UT - Milpitas, CA - Overland Park, KS - Denver, CO or Any other nearby Altigen Office (Hybrid Onsite)
Duration: 12+ Months Contract

JOB DESCRIPTION:
We are seeking a highly skilled and hands-on AI Developer with strong experience in Microsoft Azure cloud services and full-stack application development. You will be responsible for designing, developing, and deploying AI-driven applications that integrate with cloud infrastructure and deliver seamless end-to-end solutions. This is a technical, cross-functional role that combines expertise in artificial intelligence, software engineering, and DevOps.

Key Responsibilities:

• Design and implement scalable AI/ML solutions using Azure services (Azure ML, Cognitive Services, Azure Functions, etc.)
• Develop and deploy end-to-end full-stack applications using modern frameworks (React, Angular, .NET Core, Node.js, etc.)
• Integrate AI models into production systems with considerations for scalability, performance, and maintainability
• Collaborate with data scientists, backend engineers, and DevOps teams to operationalize machine learning models
• Automate training, testing, and deployment pipelines using Azure DevOps, CI/CD, and MLOps practices
• Monitor and troubleshoot AI systems in production environments
• Document architectural decisions, data flows, and system interfaces
• Stay up-to-date with emerging trends in AI, machine learning, and cloud technologies

Required Skills and Qualifications:

• Bachelor's or Master's in Computer Science, Engineering, or a related field
• 3+ years of hands-on AI/ML development experience
• Proficient with Azure cloud services (Azure ML, Data Factory, Blob Storage, Logic Apps, Azure Kubernetes Service)
• Strong programming skills in Python and/or C#, with experience in TensorFlow, PyTorch, or scikit-learn
• Full stack development expertise in both frontend (e.g., React, Angular) and backend (e.g., Node.js, .NET Core) frameworks
• Solid understanding of REST APIs, GraphQL, and microservices architecture
• Experience with DevOps tools (Azure DevOps, GitHub Actions, Docker, Kubernetes)
• Familiarity with MLOps tools and concepts for model lifecycle management
• Excellent problem-solving and communication skills

Preferred Qualifications:

• Microsoft Certified: Azure AI Engineer Associate or Azure Developer Associate
• Experience with LLMs and generative AI integration (e.g., OpenAI, Azure OpenAI Service)
• Background in data engineering or business intelligence
• Experience with Agile/Scrum methodologies