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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # GenAI Developer - **Company:** ICT MONDIAL INC - **Location:** United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Applications Architecture, Unit Testing, Microsoft Azure, C Sharp (Programming Language), Code Review, Continuous Integration, Software Debugging, DevOps, Design of User Interfaces, Python (Programming Language), Machine Learning, Node.Js, OpenShift, Cloud Services, Azure Machine Learning, Search Technologies, Systems Integration, Web Application Frameworks, Software Organization, Data Processing, Pytorch, ReactJS, Delivery Pipeline, Software Application Programming, Generative AI, Jupyter, Backend, Containerization, AngularJS, Bitbucket, Front End Software Development, Api Design, Restful APIs, Azure Synapse Analytics, Software Version Control, Docker, Jenkins, Databricks, Microservices - **Published:** June 9, 2026 - **Apply:** https://www.dice.com/job-detail/71adc2dc-42d9-4fa7-b09a-dd640d70b136 ## About the Role This role plays a critical part in implementing proof-of-concept solutions in a production environment. The ideal candidate is a hands-on developer who is passionate about understanding and experimenting with AI technologies that benefit society while minimizing risks., * Master''s degree and 5+ years of experience; OR * Bachelor''s degree and 7+ years of experience; OR * 13+ years of relevant experience in lieu of a degree, * 5+ years of experience in full stack development, including both front-end and back-end technologies. * 3+ years of Python development experience; must be comfortable writing clean, efficient code. * Hands-on experience developing applications using cloud platforms such as Microsoft Azure and/or Amazon Web Services. * Familiarity with Generative AI concepts and experience integrating AI/ML models or APIs into applications. * Proficiency in Python, JavaScript (Node.js, React, or Angular), or similar technologies. * Experience with RESTful APIs, microservices architecture, and containerization (e.g., OpenShift or Docker). * Strong understanding of software development best practices, version control (e.g., Bitbucket), and agile methodologies. * Clear and effective communication skills for collaborating with team members, presenting findings, and explaining complex AI concepts to non-technical stakeholders., * Proficiency in Microsoft Azure services, with a focus on AI and ML services such as Azure OpenAI, Azure AI Search, and Azure Vision. * Understanding of fundamental AI and RAG concepts for developing generative AI applications. * Commitment to ethical AI development, ensuring adherence to principles of fairness, transparency, accountability, and privacy. * Experience with Python web frameworks for building APIs and backend services. * Strong experience implementing and consuming RESTful web services. * Solid experience with software development best practices including unit testing, continuous integration (Jenkins), and version control (Bitbucket). * Experience with containerization and orchestration tools such as Docker and OpenShift. * Familiarity with Azure DevOps for automating builds, testing, and deployment processes. * Understanding of compliance and security best practices within Azure, especially for handling sensitive data., * Familiarity with the Azure OpenAI API and its NLP and generative modeling capabilities. * Advanced knowledge of Azure AI services including Azure Machine Learning, Cognitive Services, Databricks, and Synapse Analytics. * Ability to preprocess, clean, and manipulate data for RAG ingestion. * Hands-on experience deploying generative AI models to production environments on Azure infrastructure. * Proficiency in C# and Java. * CI/CD best practices and DevOps experience to accelerate quality releases to production. * Familiarity with data science tools and frameworks such as Jupyter Labs/Notebooks, pandas, and PyTorch. * Awareness of current issues and trends in Generative AI. ## Description * 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. * Document technical designs, development processes, and application architecture for knowledge sharing and future reference. * Collaborate with cross-functional teams including data scientists, UI/UX designers, and project managers to deliver high-quality solutions. * Conduct code reviews, testing, and debugging to ensure application reliability and performance. * Stay current with emerging technologies and best practices in Generative AI and full stack development. ## Related Videos - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Stop using Node.js like in 2020! 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