Job description

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

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