Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Create innovative prototypes for cutting-edge Conversational AI products using large language models.
- Company: Join a forward-thinking tech company focused on AI advancements.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with strong potential for career development.
- Why this job: Make a real impact by transforming ideas into functional AI systems that enhance user experience.
- Qualifications: Experience with Python, large language models, and a passion for AI technology.
The predicted salary is between 60000 - 80000 £ per year.
We are building Conversational AI products powered by large language models, and we are always striving to provide the best features for our clients. This means there’s always a new problem to solve, a new solution to find, and a new way to translate LLM capabilities into real product features. We are hiring an AI Engineer to help bring these new products to life.
You will sit on our LLM AI team, bridging the gap to our software engineering teams, turning model capabilities into working prototypes and clear reference implementations that can later be built into production systems. Your work will define how LLMs are actually used across our products. You will take ideas and turn them into real, testable systems that engineers can rely on.
What you will do:
- Improve the quality of conversational AI features by making them more accurate, consistent, and responsive through hands-on prototyping.
- Work closely with the LLM team to understand how the models behave, where they perform well, and where they break, and to experiment with new features and methods.
- Build working prototypes that show how LLM-powered features should function in real product flows.
- Design and test prompt structures, input and output formats, and interaction patterns such as retrieval-based systems and agent-style workflows.
- Create reference implementations, such as APIs or small services, that give engineering teams something concrete to build from.
- Turn high-level product ideas into clear and testable systems.
- Identify edge cases, failure points, and user experience issues early through hands-on prototyping.
- Work closely with frontend and backend engineers to ensure that what is designed can be built and scaled properly.
What we are looking for:
- Someone who enjoys turning ideas into working systems.
- Someone passionate about Conversational AI.
- Comfortable writing code and building prototypes quickly, most commonly in Python.
- Experience working with large language models in real applications.
- Understanding of how these models behave in practice, including limitations such as inconsistency, latency, and unexpected outputs.
- Ability to design systems that work around these limitations.
- Product-minded, with the ability to think about how something works for a user, not just in isolation.
Backgrounds that tend to fit well:
- Data scientists who have moved into LLM or applied AI work.
- Physics, maths, or other quantitative science backgrounds with strong coding skills (PhD or industry).
- Machine learning engineers with product exposure.
- Applied AI or LLM engineers.
- Backend engineers who have worked closely with LLM-based features.
AI Engineer in Manchester employer: ConnexAI
Contact Detail:
ConnexAI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech community, attend meetups, and connect on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio of your prototypes and projects related to conversational AI. We love seeing what you can do, so make sure to highlight your best work when chatting with potential employers.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of large language models and be ready to discuss how you’ve tackled challenges in your past projects. We want to see your problem-solving skills in action!
✨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’re always on the lookout for passionate individuals like you to join our team.
We think you need these skills to ace AI Engineer in Manchester
Some tips for your application 🫡
Show Your Passion for AI: Let us see your enthusiasm for Conversational AI in your application. Share any projects or experiences that highlight your love for turning ideas into working systems, especially with large language models.
Be Clear and Concise: When writing your application, keep it straightforward. We want to understand your skills and experiences quickly, so avoid jargon and get straight to the point about how you can contribute to our team.
Highlight Relevant Experience: Make sure to showcase any hands-on experience you've had with prototyping and building systems. If you've worked with Python or have a background in data science or machine learning, let us know!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at ConnexAI
✨Know Your LLMs
Make sure you brush up on your knowledge of large language models before the interview. Understand their capabilities, limitations, and how they can be applied in real-world scenarios. This will show that you're not just familiar with the theory but also know how to turn those ideas into practical solutions.
✨Prototype Like a Pro
Be prepared to discuss your experience with prototyping. Bring examples of past projects where you've turned concepts into working systems, especially in Python. Highlight any specific challenges you faced and how you overcame them, as this will demonstrate your problem-solving skills.
✨Collaborate and Communicate
Since you'll be working closely with both LLM and software engineering teams, emphasise your teamwork skills. Share examples of how you've successfully collaborated with others to bring a project to life. Good communication is key, so be ready to explain complex ideas in simple terms.
✨Think User-Centric
Show that you have a product-minded approach by thinking about user experience. Be ready to discuss how you would design systems that not only function well but also provide a seamless experience for users. This mindset will set you apart as someone who understands the bigger picture.