Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the design and delivery of innovative AI solutions using cutting-edge technologies.
- Company: Join a successful software vendor shaping the future of AI.
- Benefits: Competitive salary, flexible working arrangements, and opportunities for professional growth.
- Other info: Dynamic role with excellent career advancement potential.
- Why this job: Be at the forefront of AI technology and influence the company's AI strategy.
- Qualifications: 5+ years in engineering with experience in Python, TypeScript, or C#.
The predicted salary is between 60000 - 80000 £ per year.
Location - Warrington office weekly or bi-weekly (must live within 2 hour commute).
Do you want to lead the AI strategy and capabilities across a successful software vendor? Do you have experience designing and delivering AI solutions using Python, TypeScript or C#? As an AI Software Engineer, you will lead the design and delivery of practical AI solutions, building and maintaining LLM-powered applications that support products and improve internal processes across the business. You will take ideas from early exploration through to production-ready systems, working with teams across the business to identify opportunities where AI can improve processes. This is a great opportunity to pilot AI throughout the business and ultimately shape the business AI strategy and direction. You will be at the forefront of cutting edge technology and take ownership of how it is used across the business.
Responsibilities:- Design and deliver practical AI solutions.
- Build and maintain LLM-powered applications, including retrieval-augmented workflows and tools integrations.
- Collaborate with product and engineering teams to embed AI capabilities into software suite.
- Establish best practice and champion AI.
- Identify opportunities where AI will improve workflows, tooling and operational processes.
- Evaluate emerging technologies, contribute to strategy, and define a clear AI roadmap for the business.
- 5+ years experience as an engineer or developer.
- AI Software Engineer experience - delivering production-ready solutions using Python, TypeScript or C#.
- Hands on experience building LLM-based applications and solid understanding of retrieval-augmented generation approaches.
- Experience leading projects or parts of projects from design through delivery.
- Product mindset and collaborative approach - able to work closely with others to shape solutions.
- Beneficial - exposure to ERP, B2B SaaS, or financial software.
- Beneficial - experience with vector search, data pipelines, AI monitoring, and security.
For more information, please contact Katie at Matched Group.
Locations
Artificial Intelligence Engineer in Cheshire, Warrington employer: Matched
Contact Detail:
Matched Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer in Cheshire, Warrington
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field and let them know you're on the lookout for opportunities. You never know who might have the inside scoop on a role that’s perfect for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those using Python, TypeScript, or C#. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss how you've led projects and delivered AI solutions in the past—this is your chance to shine!
✨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 Cheshire, Warrington
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Software Engineer role. Highlight your experience with Python, TypeScript, or C#, and any projects where you've delivered AI solutions. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI and how you envision shaping our AI strategy. Let us know why you're excited about this role and how your experience can help us lead the way in AI.
Showcase Your Projects: If you've worked on LLM-powered applications or have experience with retrieval-augmented workflows, make sure to showcase these projects. We love seeing practical examples of your work that demonstrate your ability to deliver production-ready solutions.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. We can't wait to see what you bring to the table!
How to prepare for a job interview at Matched
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI solutions, especially those using Python, TypeScript, or C#. Be ready to discuss specific projects you've worked on and how you’ve delivered production-ready systems. This will show that you’re not just familiar with the tech but have hands-on experience.
✨Showcase Your Leadership Skills
Since this role involves leading the AI strategy, be prepared to talk about your experience in leading projects. Share examples of how you’ve taken ideas from concept to delivery, and how you’ve collaborated with teams to embed AI capabilities into products. Highlight your ability to champion best practices in AI.
✨Understand the Business Impact
Think about how AI can improve workflows and operational processes. During the interview, discuss potential opportunities where AI could make a difference in the company’s operations. This shows that you’re not just a techie but also understand the broader business context.
✨Stay Current with Emerging Technologies
Familiarise yourself with the latest trends in AI, especially around LLMs and retrieval-augmented generation. Be ready to discuss how these technologies can be applied in practical scenarios. This will demonstrate your commitment to staying at the forefront of AI advancements.