Senior Full Stack AI Engineer

About the Role

We are looking for an experienced and versatile Senior Full Stack AI Engineer with strong hands-on expertise in cloud technologies, frontend and backend development, and AI-driven solutions. The ideal candidate will build scalable web applications, manage cloud deployments, integrate Large Language Models (LLMs), and use data analytics to support intelligent, data-driven solutions.

Key Responsibilities

• Design, develop, and maintain scalable web applications across frontend and backend systems.

• Build responsive user interfaces, robust backend services, and well-designed APIs.

• Deploy, manage, and optimise applications using cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).

• Integrate LLMs, generative AI models, and AI-powered APIs into applications.

• Work with databases, data pipelines, and analytics tools to generate meaningful insights.

• Ensure application performance, security, scalability, and reliability.

• Collaborate with cross-functional teams to translate business requirements into high-quality technical solutions.

Must-Have Qualifications

• 5–10 years of hands-on experience in software development and full-stack engineering.

• Proficiency in frontend technologies such as React, Angular, JavaScript, or TypeScript.

• Experience with backend technologies such as Python, Node.js, Java, or .NET.

• Practical experience deploying and managing applications on AWS, Azure, or GCP.

• Experience integrating LLMs, generative AI models, or AI-powered APIs into applications.

• Working knowledge of databases, SQL, data processing, and data analytics.

• Understanding of REST APIs, application architecture, Git, and software development best practices.

Preferred Qualifications

• Experience with LLM frameworks, Retrieval-Augmented Generation (RAG), vector databases, and AI application development.

• Knowledge of machine learning concepts, data visualisation, and business intelligence tools.

• Experience with Docker, Kubernetes, CI/CD pipelines, and cloud-native architecture.

• Familiarity with automated testing, application security, and performance optimisation.

• Strong analytical, problem-solving, and communication skills.

Who We're Looking For

A hands-on technology professional who can contribute across the full software development lifecycle—from building web interfaces and backend services to deploying cloud-based applications and integrating AI capabilities. The ideal candidate is comfortable working across multiple technologies and turning business needs into scalable, intelligent solutions.