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Permanent

AI Applications Engineer

Manchester
money-bag £50000 - £60000/annum
223903839
Posted Yesterday

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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