At a Glance
- Tasks: Lead AI integration in a global SaaS platform and drive innovation across teams.
- Company: Join a dynamic global SaaS company with a focus on AI-driven solutions.
- Benefits: Highly competitive salary, 15% annual bonus, and fully remote work.
- Other info: Collaborate directly with the CEO and senior leadership for strategic AI initiatives.
- Why this job: Make a real impact by transforming products and workflows with cutting-edge AI technology.
- Qualifications: Experience in AI/ML engineering and strong software development skills required.
The predicted salary is between 60000 - 80000 £ per year.
Fully Remote, UK
Salary - Highly competitive plus 15% annual bonus based on personal performance.
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.
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. 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.
- 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.
- 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.
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.
- 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.
- Experience implementing AI solutions within existing or legacy platforms.
- The ability to influence others and encourage wider AI adoption through hands-on support and technical leadership.
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. 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.
Engineer (M/V) employer: Neulinx
Neulinx offers an exceptional work environment for AI Engineers, providing a fully remote role that allows for flexibility and work-life balance. With a highly competitive salary and a 15% annual bonus based on personal performance, employees are rewarded for their contributions while being part of a collaborative culture that prioritises innovation and professional growth. The opportunity to work directly with the CEO and lead the integration of AI into a global SaaS platform ensures that your efforts will have a significant impact on the company's future.
StudySmarter Expert Advice🤫
We think this is how you could land Engineer (M/V)
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and engineering fields. Attend meetups, webinars, or even online forums where you can chat with industry folks. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those that demonstrate your ability to integrate AI into existing systems. 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 soft skills. Be ready to discuss how you've applied machine learning in practical settings and how you can influence teams to adopt AI solutions. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We’re always on the lookout for talented AI Engineers like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Engineer (M/V)
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 machine learning knowledge, software engineering capabilities, and any hands-on experience with AI solutions.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and how you can contribute to our mission. Share specific examples of past projects where you've successfully integrated AI into existing systems.
Showcase Your Technical Skills:Don’t shy away from detailing your technical expertise! Mention your experience with MS SQL, C#, JavaScript, and any work you've done on modernising legacy systems. We want to see how you can bring value to our SaaS platform.
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 this exciting opportunity to lead AI adoption in our engineering team.
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 practical applications of AI in SaaS environments. This will show that you can not only talk the talk but also walk the walk.
✨Showcase Your Coding Skills
Since this role requires high-quality production code, be prepared to demonstrate your coding abilities. Bring examples of your work, particularly in languages like C# or JavaScript, and be ready to explain your thought process behind building production-grade systems.
✨Understand the Business Impact
This position is all about driving AI adoption across the organisation. Think about how your previous work has created measurable business value and be ready to share those stories. Highlight your ability to influence teams and lead through technical delivery.
✨Be Ready for Technical Questions
Expect some deep dives into your technical expertise, especially around integrating AI into existing platforms and modernising legacy systems. Prepare to discuss prompt engineering techniques and how you've identified opportunities for improving workflows and operational efficiency.
