Senior Full Stack AI Developer II CloudAngles

About the Role

We are looking for a Full Stack AI Developer with strong experience across frontend, backend, mobile, and AI application development. The ideal candidate should be comfortable working across React, React Native, Node.js, Python, APIs, databases, and AI/GenAI technologies, and should be capable of taking an AI-powered product feature from concept through development and deployment.

Key Responsibilities

• Design and develop end-to-end AI-powered applications.
• Build responsive web applications using React.js.
• Develop mobile applications using React Native.
• Build backend services and APIs using Node.js and Python.
• Integrate LLMs and GenAI capabilities into web and mobile applications.
• Develop RAG pipelines and AI-powered workflows.
• Integrate AI agents and tool-calling capabilities.
• Build RESTful APIs and service integrations.
• Design and manage application databases.
• Integrate third-party APIs and AI/ML services.
• Develop authentication, authorization, logging, monitoring, and error-handling mechanisms.
• Write unit, integration, and API tests.
• Collaborate with UX, product, QA, cloud, and AI engineering teams.
• Deploy and maintain applications in cloud environments.
• Troubleshoot production issues and optimize application performance.
• Participate in architecture and technical design discussions.

Required Skills Frontend

• Strong hands-on experience with React.js.
• Strong JavaScript/TypeScript knowledge.
• Experience with state management and modern frontend architecture.
• HTML5, CSS3, responsive design.
• Experience consuming REST APIs. Mobile
• Hands-on experience with React Native.
• Understanding of mobile application architecture.
• Experience integrating APIs, authentication, push notifications, and native capabilities. Backend
• Strong experience with Node.js.
• Strong Python development experience.
• Experience building REST APIs using Express, FastAPI, Flask, or equivalent.
• Understanding of microservices and backend architecture.
• Experience with relational and/or NoSQL databases. AI / GenAI
• Experience integrating LLM APIs such as OpenAI, Anthropic, Gemini, or equivalent.
• Understanding of prompt engineering.
• Experience with RAG and vector databases.
• Understanding of AI agents and tool calling.
• Experience building AI-powered application features.
• Understanding of AI evaluation and application testing is preferred. Engineering
• Strong Git knowledge.
• Experience with Docker.
• Understanding of CI/CD.
• Familiarity with AWS or another major cloud platform.
• Strong debugging and problem-solving skills.

Preferred Skills

• Experience with LangChain, LangGraph, LlamaIndex, or equivalent.
• Experience with AI agents and agentic workflows.
• Experience with TypeScript across frontend and backend.
• Experience with AWS services.
• Experience with Kubernetes.
• Experience with automated testing.
• Experience building enterprise-grade AI applications.
• Experience working with evaluation/observability platforms for LLM applications.