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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Full Stack Developer - AI - **Company:** Mastech Digital, Inc. - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Application Integration Architecture, Unit Testing, Microsoft Azure, Code Generation, Continuous Integration, Design of User Interfaces, JSON, Python (Programming Language), NoSQL, Rapid Prototyping Process, Ui Patterns, Next.js, Software Deployment, SQL Databases, Data Streaming, Systems Integration, TypeScript, Web Application Frameworks, WebSocket, Data Processing, Tailwind, Flask (Web Framework), Large Language Models, Multi-Agent Systems, Cypress (Programming Language), Generative AI, Backend, Fastapi, Vue.js, Pytest, Material UI, Low-code, Front End Software Development, Restful APIs - **Published:** September 2, 2026 - **Apply:** http://datafrenzy.com/Job/Display?jobNum=24084478 ## About the Role Role Description: The Full Stack Developer - AI must have 5-7 years of experience. We are looking for a Full Stack Developer with strong Python and modern frontend expertise, who can rapidly build AI-powered interfaces. This role focuses on building intuitive, AI-driven user experiences, including conversational UIs, adaptive dashboards, and dynamic workflows, while integrating deeply with LLM-based backends and agentic systems. The ideal candidate is comfortable working in a fast prototyping environment, translating ideas into working UI experiences quickly, and refining them into production-grade scalable applications., 5-7 years of experience in full stack development (Python + modern frontend frameworks) - Hands-on experience integrating with OpenAI/Azure OpenAI APIs - Strong backend expertise using FastAPI/Flask (async patterns preferred) - Experience building interactive and data-heavy frontend applications - Experience with real-time UI updates (WebSockets / SSE streaming) - Exposure to AI-assisted development workflows or rapid prototyping approaches - Familiarity with design systems, UI/UX thinking, and component-driven architecture - Experience deploying applications on Cloud platforms (AWS) Desired Technical Skills: Backend - Python, FastAPI, Flask, REST APIs, async/await, Pydantic Frontend - React / Next.js / Vue.js, TypeScript, Tailwind CSS / Material UI - Dynamic UI rendering, component composition, state management AI Integration - OpenAI / Azure OpenAI APIs, LLM integration - LangChain (basics), function calling, prompt-based workflows - Streaming outputs, response token handling Generative UI & Vibe Coding - AI-assisted coding tools (Copilot, prompt-driven code generation) - Dynamic UI generation based on AI responses - Rapid prototyping frameworks and low-code/accelerator usage - Design-to-code and component auto-generation patterns APIs & Data - REST API consumption, JSON, event-driven data handling - Basic integration with SQL / NoSQL / vector APIs Testing - Unit testing (pytest), frontend testing (Jest / Cypress) - Basic validation frameworks for AI outputs ## Description Build and maintain Python backend services (FastAPI/ Flask) integrated with AI/LLM systems - Develop AI-powered frontends-Generative dashboards, dynamic workflow UIs - Implement generative UI patterns where layouts, components, or flows adapt dynamically based on AI outputs - Apply vibe coding approaches to rapidly prototype and iterate UI/UX experiences (prompt-driven coding, AI-assisted development tools, design-to-code flows) - Design and expose REST APIs to connect frontend, AI backend, and enterprise systems - Integrate agentic systems outputs (multi-agent flows, decisions, confidence scores) into UI views - Collaborate with AI/ML engineers to surface model outputs, traceability, and explanations in UI - Deploy applications on AWS cloud environments using container-based architecture - Contribute to CI/CD pipelines, testing, and production readiness - Ensure UX consistency, responsiveness, and performance across devices ## Related Videos - [AI Killed DevOps... What Now? - Lee Faus](https://www.wearedevelopers.com/videos/1759-ai-killed-devops-what-now-lee-faus) - [pytest: Simple, rapid and fun testing with Python](https://www.wearedevelopers.com/videos/213-pytest-simple-rapid-and-fun-testing-with-python) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Tips and Tricks for Working with JSON](https://www.wearedevelopers.com/videos/1229-tips-and-tricks-for-working-with-json) - [Automagic Configuration in Python](https://www.wearedevelopers.com/videos/363-automagic-configuration-in-python) - [NoSQL Data Modeling for Front-end Developers](https://www.wearedevelopers.com/videos/297-nosql-data-modeling-for-front-end-developers) ## Related Articles - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [The State of WebDev AI 2025 Results: What Can We Learn?](https://www.wearedevelopers.com/magazine/581-the-state-of-webdev-ai-2025-results-what-can-we-learn) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Transforming Software Development: The Role of AI and Developer Tools](https://www.wearedevelopers.com/magazine/527-transforming-software-development-the-role-of-ai-and-developer-tools) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)