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For Companies At a Glance
- Tasks: Design and optimise AI-driven systems, from architecture to deployment.
- Company: Forward-thinking organisation focused on next-gen AI systems.
- Benefits: Competitive salary, bonus, hybrid work, and comprehensive wellbeing benefits.
- Other info: Collaborative culture with opportunities for innovation and career growth.
- Why this job: Shape the future of AI and make a real impact in tech.
- Qualifications: Strong Python skills and experience with AI frameworks and databases.
The predicted salary is between 48000 - 72000 £ per year.
We're partnering with a forward-thinking organisation investing heavily in next-generation AI systems to power intelligent, data-driven applications. This is a high-impact Senior Engineer role within a growing engineering function. You'll take ownership of designing and delivering scalable AI-driven systems, working across the full lifecycle — from architecture through to deployment and optimisation in production.
If you enjoy building from first principles, working with modern LLM frameworks, and shaping how AI is embedded into real-world products, this is a genuinely exciting opportunity.
The Role
You'll be responsible for architecting and optimising intelligent systems, ensuring they are scalable, performant and production-ready. Key responsibilities include:
- Designing and optimising AI-driven architectures
- Implementing vector and graph database solutions
- Building Retrieval-Augmented Generation (RAG) pipelines
- Developing agentic reasoning workflows (LangChain, LlamaIndex or similar)
- Managing the end-to-end AI lifecycle — ingestion, embeddings, extraction, synthesis, prompt engineering and orchestration
- Deploying and maintaining containerised models in Docker-based environments
- Collaborating closely with product and business stakeholders
- Mentoring and supporting more junior engineers
What We're Looking For
- Strong Python engineering background
- Experience with FastAPI, Celery and Postgres
- Hands-on experience with vector databases and graph databases
- Experience building RAG-based systems
- Experience with agentic/orchestration frameworks (e.g. LangChain, LlamaIndex)
- Solid understanding of LLMs, embeddings and prompt engineering
Highly Desirable
- Experience designing multi-agent or autonomous systems
- Docker and cloud-native deployment experience
- Advanced RAG approaches such as: Tool-Augmented Generation (TAG), Context-Aware Generation (CAG), GraphRAG
The Environment
- Collaborative, engineering-led culture
- Strong focus on innovation and continuous improvement
- Flexible hybrid working
- Opportunity to shape AI capability from the ground up
- Modern cloud-native architecture
Package
- Competitive base salary
- Discretionary bonus
- Non-contributory pension
- Private medical (family cover) + dental
- Hybrid working model
- Comprehensive wellbeing benefits
This role would suit someone who enjoys technical ownership, thinking architecturally, and building intelligent systems that have genuine business impact.
Artificial Intelligence Engineer in Manchester employer: Loop Recruitment
Contact Detail:
Loop Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the AI field on LinkedIn or at local meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI systems. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common AI engineering questions and practical tests. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Artificial Intelligence Engineer in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the AI Engineer role. Highlight your Python engineering background and any hands-on experience with vector databases or RAG systems. We want to see how you can contribute to our innovative projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your previous work aligns with our mission at StudySmarter. Don’t forget to mention specific technologies you’ve worked with, like FastAPI or Docker.
Showcase Your Projects: If you've built any AI-driven systems or worked on relevant projects, make sure to include them in your application. We love seeing real-world applications of your skills, so share links or descriptions that demonstrate your expertise!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. Plus, we can’t wait to hear from you!
How to prepare for a job interview at Loop Recruitment
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI systems, especially around LLM frameworks and RAG pipelines. Be ready to discuss your hands-on experience with vector databases and graph databases, as well as any projects where you've implemented these technologies.
✨Showcase Your Python Skills
Since a strong Python engineering background is crucial for this role, prepare to demonstrate your coding skills. You might be asked to solve problems or even write code during the interview, so practice common algorithms and data structures in Python beforehand.
✨Prepare for Technical Questions
Expect technical questions that dive deep into your understanding of AI architectures and deployment strategies. Familiarise yourself with concepts like containerisation in Docker and cloud-native deployments, as well as how to optimise AI-driven systems for performance.
✨Be Ready to Collaborate
This role involves working closely with product and business stakeholders, so be prepared to discuss how you've collaborated in past projects. Highlight your mentoring experience with junior engineers and your approach to fostering a collaborative environment.