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Position Overview
We are seeking a hands-on Full Stack Developer to design, build, and deploy Generative AI Proofs of Concept (PoCs) using Azure AI and AWS Bedrock. The ideal candidate has strong Python and full-stack development experience, cloud expertise, and a passion for building secure, scalable AI-powered applications.
Key Responsibilities
Design, develop, and deploy Generative AI PoCs using Azure AI and AWS Bedrock.
Build scalable full-stack applications with AI model integration.
Develop front-end and back-end components using Python and JavaScript frameworks.
Integrate cloud services, APIs, and deployment pipelines.
Collaborate with cross-functional teams to deliver AI solutions.
Perform code reviews, testing, debugging, and technical documentation.
Stay current with emerging AI technologies and best practices.
Required Qualifications
5+ years of full-stack development experience.
3+ years of Python development experience.
Hands-on experience with Azure and/or AWS cloud platforms.
Experience integrating Generative AI/LLM APIs and RAG-based applications.
Proficiency in Python, JavaScript (React, Angular, or Node.js), REST APIs, and microservices.
Experience with Docker/OpenShift, Git/Bitbucket, CI/CD, and Agile development.
Strong understanding of Azure AI services (Azure OpenAI, AI Search, Vision).
Excellent problem-solving, collaboration, and communication skills.
Bachelor's degree with 7+ years, Master's with 5+ years, or equivalent experience.
Preferred Skills
Experience with Azure OpenAI, Azure ML, Cognitive Services, Databricks, and Synapse.
Knowledge of AI deployment, monitoring, security, and ethical AI practices.
Experience with Azure DevOps, Jenkins, Docker, OpenShift, and CI/CD pipelines.
Familiarity with C#, Java, PyTorch, pandas, and Jupyter Notebooks.
Experience deploying production-grade Generative AI solutions.
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