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Ai applications engineer

Manchester
TieTalent
Application engineer
Posted: 21 August
Offer description

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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.


Seniority level

* Seniority level

Entry level


Employment type

* Employment type

Full-time


Job function

* Job function

Engineering and Information Technology
* Industries

Technology, Information and Internet

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