Full‑Stack Web Developer with AI & Generative AI Expertise

About the role

We are seeking a highly skilled Full‑Stack Web Developer with deep expertise in Artificial Intelligence and Generative AI. The role involves designing, building and maintaining scalable, secure web applications while integrating cutting‑edge AI capabilities such as large language models, chatbots and intelligent search.

Key responsibilities

• Design, develop, test and maintain full‑stack web applications with responsive front‑ends and robust back‑ends.
• Build and expose RESTful and GraphQL APIs, micro‑services and third‑party integrations.
• Integrate AI/Generative AI features using LLM APIs, prompt engineering, RAG, embeddings and vector databases.
• Implement AI‑powered functionalities such as chatbots, content generation, summarisation and recommendation systems.
• Ensure application performance, scalability, security (authentication, authorization, API security) and reliability.
• Deploy and manage applications on cloud platforms, set up CI/CD pipelines and follow DevOps best practices.
• Write clean, reusable, well‑documented code, conduct code reviews and mentor junior developers.
• Collaborate with product managers, UI/UX designers, architects, DevOps engineers and business stakeholders throughout the software development lifecycle.
• Monitor emerging AI and web technologies and propose appropriate solutions.

Required profile

• Proven full‑stack development experience across front‑end and back‑end technologies.
• Hands‑on experience with AI/LLM integration, prompt engineering and Generative AI concepts.
• Ability to work effectively in cross‑functional teams and communicate technical solutions.
• Strong problem‑solving skills and a passion for staying up‑to‑date with emerging technologies.

Required skills

• HTML5, CSS3, JavaScript, TypeScript
• React.js, Angular, Vue.js
• Node.js, Python, Java.NET
• RESTful API, GraphQL, micro‑services architecture
• SQL, NoSQL databases, caching, performance optimisation
• Authentication & authorization, API security
• Cloud platforms (e.g., AWS, Azure, Google Cloud)
• CI/CD pipelines, DevOps practices
• AI APIs (OpenAI, Azure OpenAI, Google), LLMs, prompt engineering, RAG, embeddings, vector databases