AI Applications Engineer

Manchester
6 months ago
Applications closed

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Trainee AI Engineer Placement Programme

Trainee AI Engineer Placement Programme

Trainee AI Engineer Placement Programme

Trainee AI Engineer Placement Programme

Trainee AI Engineer Placement Programme

Trainee AI Engineer Placement Programme

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

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