< data-end="580" data-start="558">Position Overview
We are seeking a hands-on Full Stack Developer with Generative AI experience to design, develop, and deploy AI-enabled web applications and Proofs of Concept (PoCs). The ideal candidate will have strong experience in Python, React/Node.js, Azure/AWS, Generative AI, RAG, REST APIs, and cloud-native application development.
This role will involve collaborating with stakeholders, data scientists, UI/UX designers, and project managers to develop scalable and secure applications leveraging modern AI technologies.
< data-end="1130" data-start="1105">Key Responsibilities
- Collaborate with stakeholders to understand and refine use cases for Generative AI solutions.
- Design, develop, and implement end-to-end PoCs using Azure AI and AWS Bedrock.
- Build scalable, secure, and robust web applications integrating Generative AI models and APIs.
- Develop both front-end and back-end components for seamless application experiences.
- Rapidly prototype, test, and iterate application features based on feedback.
- Integrate cloud services and support application deployment pipelines.
- Develop APIs and backend services using Python frameworks.
- Integrate and consume RESTful web services and microservices.
- Implement AI/ML models, APIs, and RAG capabilities into applications.
- Participate in code reviews, unit testing, debugging, and performance optimization.
- Document technical designs, architecture, development processes, and solutions.
- Collaborate with cross-functional technical and business teams.
- Stay current with emerging Generative AI, cloud, and full-stack development technologies.
< data-end="2192" data-start="2172">Required Skills
- 5+ years of full-stack software development experience.
- 3+ years of hands-on Python development.
- Strong experience with React, Node.js, JavaScript, or similar front-end/back-end technologies.
- Experience with Microsoft Azure and/or AWS cloud platforms.
- Hands-on experience integrating Generative AI/ML models or APIs into applications.
- Experience with Azure OpenAI, Azure AI Search, Azure AI services, or similar technologies.
- Understanding of Generative AI and RAG concepts.
- Experience building Python-based APIs and backend services.
- Strong knowledge of REST APIs and microservices architecture.
- Experience with Docker and/or OpenShift.
- Experience with Git/Bitbucket, CI/CD, and Agile development methodologies.
- Experience with automated testing and continuous integration tools such as Jenkins.
- Familiarity with Azure DevOps for build, testing, and deployment automation.
- Strong software engineering, troubleshooting, and problem-solving skills.
- Excellent communication and collaboration skills.
< data-end="3306" data-start="3270">Preferred / Nice-to-Have Skills
- Hands-on experience with Azure OpenAI API.
- Experience with Azure Machine Learning, Azure Cognitive Services, Azure Databricks, and Azure Synapse Analytics.
- Experience preparing, cleaning, and preprocessing data for RAG ingestion.
- Experience deploying Generative AI applications into production on Azure.
- Knowledge of AI application security, privacy, fairness, transparency, and responsible AI practices.
- Experience with C# and/or Java.
- Experience with CI/CD and DevOps best practices.
- Familiarity with Jupyter, Pandas, PyTorch, or other data science tools.
- Experience with AI monitoring, containerization, orchestration, and cloud security.
- Experience handling sensitive or regulated data within cloud environments.
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