JS AI Native Dev Lab

Vention is a global engineering partner to tech leaders and fast-growing startups, combining 20+ years of product development expertise with an AI-first approach and a reputation for reliable delivery. They work with modern frameworks like React, Angular, Vue, and Next.js, building fast, responsive, and user-focused interfaces. The internship offers room to grow as a Frontend or Fullstack developer and stays up to date with the latest trends to keep practices sharp and innovative.

• Solid understanding of HTML, CSS, and core JavaScript concepts
• Familiarity with at least one modern JavaScript framework (React, Angular, or Vue.js)
• Basic knowledge of backend development
• Understanding of asynchronous programming and APIs
• Hands-on experience using Git for version control
• Interest in AI technologies and readiness to work with non-deterministic systems
• English proficiency at B1 level or higher to support effective teamwork
• Dedication to learning, with the ability to commit 6 hours per day to development and study

• Learn and apply JavaScript, TypeScript, and core design patterns alongside AI-native development principles
• Learn full-stack applications using modern frameworks such as React on the frontend and Node.js on the backend
• Work with and manage AI-powered tools such as copilots, assistants, and automated workflows
• Integrate applications with AI services (LLMs, embeddings, function calling, agents) as part of the core system design
• Develop backend services in Node.js to orchestrate AI workflows, handle context, and manage data pipelines
• Learn retrieval-augmented generation (RAG) systems using vector databases and semantic search
• Work with prompt engineering as part of application logic, including versioning, testing, and iteration
• Design systems that combine deterministic code with probabilistic AI outputs, including validation and fallback strategies
• Implement streaming responses and real-time user interactions with AI services
• Write tests for both traditional logic and AI-driven components, including output evaluation and quality checks
• Build and continuously improve a personal AI-powered full-stack project
• Gain hands-on experience with CI/CD pipelines, including deployment of AI-enabled services
• Work with cloud platforms, containerization, and scalable infrastructure for AI applications