At a Glance
- Tasks: Lead AI integration in a global SaaS company and drive innovative solutions.
- Company: Join a dynamic global SaaS company focused on AI-driven transformation.
- Benefits: Highly competitive salary, 15% annual bonus, and fully remote work.
- Other info: Opportunity for hands-on influence and career growth in a cutting-edge tech space.
- Why this job: Make a real impact by shaping the future of AI in a collaborative environment.
- Qualifications: Experience in AI/ML, strong coding skills, and a passion for innovation.
The predicted salary is between 60000 - 80000 € per year.
Location: Fully Remote, UK
Salary - Highly competitive plus 15% annual bonus based on personal performance
Reporting to: Chief Executive Officer
Neulinx have partnered with an established global SaaS company to appoint an AI Engineer for a business-critical role reporting directly to the CEO. This is a high-impact opportunity for an experienced AI Engineer to lead the practical adoption of AI across a 50 person engineering team and the organisation, supporting both internal capability and external product development.
Role Overview
The successful AI Engineer will play a central role in helping the business evolve towards a more AI-driven future. This position requires a strong blend of machine learning knowledge, software engineering capability, and the ability to apply AI in practical, commercial environments. This is not a managerial position. It is a hands-on role for an AI Engineer who can lead through technical delivery, influence engineering teams through credibility, and help embed AI capability across the wider business. The role will focus on integrating AI into an existing SaaS platform, modernising legacy systems, and identifying opportunities to improve products, workflows, and operational efficiency through the use of AI.
Key Responsibilities
- Act as the lead AI Engineer within the business, driving the adoption of AI across engineering, internal operations, and customer-facing applications
- Design, build, and deploy AI-powered solutions within an established SaaS environment
- Work with LLMs in real-world product and operational use cases
- Apply prompt engineering techniques to improve workflows, outputs, and user experience
- Build and implement MCP services and advanced AI workflows
- Support the transition of legacy systems towards a more AI-driven architecture
- Partner closely with software engineers to help develop AI capability across the team
- Identify and deliver practical AI and ML use cases that create measurable business value
- Work directly with the CEO and senior leadership team on the company’s AI direction and implementation priorities
Candidate Profile
The ideal candidate will be an experienced AI Engineer with a strong grounding in machine learning and a proven ability to write high-quality production code. Applicants should be able to demonstrate:
- Proven experience in an AI Engineer, ML Engineer, or similar hands-on role
- Strong software engineering skills and the ability to build production-grade systems
- Strong experience with LLMs, prompt engineering, and MCP
- Experience implementing AI solutions within existing or legacy platforms
- The ability to operate effectively in a hands-on, high-visibility role
- Confidence working directly with senior leadership as well as technical teams
- A practical, delivery-focused mindset with a strong bias towards execution
- The ability to influence others and encourage wider AI adoption through hands-on support and technical leadership
Additional Context
This role is particularly well suited to an AI Engineer who is energised by seeing their work have tangible impact at scale, rather than solely within internal teams. It will also suit someone who is comfortable working within complexity and legacy environments. Existing technologies include MS SQL, C#, JavaScript, and an ongoing React migration, so resilience and a genuine interest in modernising established systems will be important. If you are an AI Engineer who wants to build, influence, and help transform a global SaaS platform through AI, we’d love to hear from you.
AI Engineer in Warrington employer: Neulinx
Neulinx offers an exceptional opportunity for AI Engineers to thrive in a fully remote environment, fostering a culture of innovation and collaboration. With a highly competitive salary and a generous annual bonus, employees are encouraged to grow their skills while directly impacting the company's AI-driven future. The supportive work culture prioritises hands-on contributions and provides unique opportunities to influence engineering teams and modernise legacy systems, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer in Warrington
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving LLMs and MCP. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss how you've applied AI in real-world scenarios and how you can help modernise legacy systems.
✨Tip Number 4
Apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace AI Engineer in Warrington
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Engineer role. Highlight your experience with machine learning, LLMs, and any relevant projects that showcase your skills in a SaaS environment. We want to see how you can bring value to our team!
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 background makes you a perfect fit for this role. Don’t forget to mention your hands-on experience and how you can influence engineering teams.
Showcase Your Technical Skills:In your application, be sure to highlight your technical skills, especially in software engineering and AI implementation. We’re looking for someone who can build production-grade systems, so share examples of your work that demonstrate this capability.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensure it 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 Neulinx
✨Know Your AI Stuff
Make sure you brush up on your machine learning and AI knowledge. Be ready to discuss specific projects you've worked on, especially those involving LLMs and MCP services. The more you can demonstrate your hands-on experience, the better!
✨Showcase Your Coding Skills
Since this role requires strong software engineering skills, be prepared to talk about your coding experience. Bring examples of production-grade systems you've built, and if possible, share code snippets or projects that highlight your expertise in languages like C# or JavaScript.
✨Understand the Business Impact
This isn't just about tech; it's about how AI can drive business value. Think of practical use cases where you've implemented AI solutions that improved workflows or operational efficiency. Be ready to discuss how your work has made a tangible impact.
✨Engage with Leadership
You'll be working closely with the CEO and senior leadership, so show that you're comfortable in high-visibility roles. Prepare questions that demonstrate your interest in the company's AI direction and how you can contribute to their vision.
