AI Applications Engineer

AI Applications Engineer

Remote (Quarterly onsite)

Full-time Permanent

£50,000 - £60,000 + Benefits

This is an opportunity to join a scaling AI consultancy firm looking to enhance their capabilities further across Data Science, GenAI and Machine Learning.

You ll be focused on the vision, design, and deployment of high-impact AI solutions, while also working across a range of real-world use cases and getting hands-on with the integration into production environments.

Role Overview

You will work closely with cross-functional teams to deliver end-to-end AI solutions, from technical design and development to deployment and optimisation.

Your work will involve integrating advanced AI models (including GenAI and reasoning-based models) into user-facing applications using modern full-stack technologies.

Key Responsibilities

• Develop and deploy AI-powered features into production systems.
• Build and optimise automation pipelines for scalable delivery.
• Implement RAG (Retrieval-Augmented Generation) and reasoning models into customer-facing applications.
• Collaborate with data scientists and engineers to translate technical concepts into real-world tools.
• Build full-stack applications using the MERN stack and integrate Python-based AI services via APIs.
• Maintain clean, scalable, and testable code with attention to performance and reliability.
• Engage directly with clients to understand requirements, present technical solutions and support project delivery.

Core Skills & Experience

• JavaScript/TypeScript, with experience in MERN Stack (MongoDB, Express.js, React.js, Node.js or similar )
• Strong proficiency in Python, particularly for AI and ML applications.
• Hands-on experience with PyTorch, GenAI, and reasoning models.
• Experience implementing RAG architectures in production environments.
• Solid understanding of both SQL and NoSQL databases
• Experience building and consuming APIs; familiarity with CI/CD practices.

Nice to Have

• Exposure to cloud platforms (AWS, GCP, Azure)
• Knowledge of automation tools (UIPath, Power Automate or similar )
• Familiarity with automation pipelines and business workflows.

If you're passionate about applying AI in real-world settings, enjoy the pace of a scale up environment and enjoy working across the stack to bring intelligent products to life, this could be an interesting role for you to explore.