Fullstack Engineer – Agentic AI (React/Python)

Cloudfide engineers solutions for large-scale Big Data and cloud-native platforms for global clients, including retail leaders and Fortune 500 companies. The company operates fully in the cloud ecosystem and works with modern technologies such as AI, ML, MLOps, and advanced data architectures.

• 3+ years of experience in a fullstack development role
• Strong proficiency in React (ideally React 19) and TypeScript
• Solid experience with Python 3 and FastAPI
• Hands-on experience with Tailwind CSS and modern frontend tooling
• Practical experience with REST APIs and Server-Sent Events (or similar streaming mechanisms), end to end
• Experience with OAuth 2.0 / OIDC authentication flows, including Azure AD (MSAL) or Ping, and MFA
• Experience with GitHub Actions and CI/CD pipelines
• Experience building LLM-based applications or agentic AI solutions, understanding core concepts such as prompting, tool calling, RAG, and evaluation
• Understanding of web accessibility standards (WCAG) and responsive design
• Proactive and curious mindset, comfortable working in dynamic, evolving project environments
• Fluent English communication, able to collaborate effectively with clients and international teams

Nice to have:

• Experience with agent frameworks or Model Context Protocol (MCP) servers
• Experience building conversational assistants or customer support solutions
• Familiarity with MS Azure services, including Azure OpenAI
• Knowledge of security best practices for web and LLM-based applications
• Experience with testing frameworks (e.g. Vitest, Playwright, pytest)

• Designing and building a modern web portal with React 19, TypeScript, and Tailwind CSS, with attention to UI quality, accessibility, and responsiveness
• Developing backend services and APIs in Python 3 and FastAPI
• Implementing REST APIs and real-time Server-Sent Events streaming, including streaming AI assistant responses to the UI
• Building and evolving the conversational AI assistant using agentic AI patterns, including tool calling, knowledge retrieval, and multi-step workflows
• Designing seamless escalation flows from the AI assistant to human support agents
• Implementing secure authentication and authorization with OAuth 2.0 / OIDC (Azure AD via MSAL or Ping), including MFA, for both users and agents
• Setting up and maintaining CI/CD pipelines in GitHub Actions
• Translating business requirements into well-structured technical tasks and delivering features end-to-end
• Conducting code reviews and contributing to documentation and best practices
• Sharing knowledge and contributing to a collaborative learning culture within the team