At a Glance
- Tasks: Lead AI integration in a global SaaS platform and drive innovation.
- Company: Join a dynamic global SaaS company with a focus on AI transformation.
- Benefits: Highly competitive salary plus a 15% annual bonus and remote work flexibility.
- Other info: Collaborate directly with the CEO and senior leadership for strategic AI initiatives.
- Why this job: Make a real impact by shaping the future of AI in a thriving tech environment.
- Qualifications: Experience in AI/ML engineering and strong software development skills required.
The predicted salary is between 60000 - 70000 £ 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.
Vacature Engineer 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, combined with the chance to work closely with senior leadership, makes this role not just a job, but a meaningful career path in a forward-thinking SaaS company.
StudySmarter Expert Advice🤫
We think this is how you could land Vacature Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow engineers 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 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.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining our team and contributing to our AI-driven future.
We think you need these skills to ace Vacature Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of AI Engineer. Highlight your experience with machine learning, software engineering, and any relevant projects that showcase your ability to integrate AI into existing systems.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and how you can drive its adoption in our SaaS environment. Share specific examples of how you've influenced teams or improved workflows with AI solutions.
Showcase Your Technical Skills:Don’t just list your skills; demonstrate them! Include links to projects or GitHub repositories where we can see your production-grade code and AI implementations in action. We love seeing practical applications!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
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 the 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 solve coding challenges during the interview.
✨Understand the Business Impact
This position is all about driving AI adoption across the company. 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.
✨Engage with the Leadership Vision
Since you'll be working closely with the CEO and senior leadership, it’s crucial to understand their vision for AI within the company. Research the company’s current AI initiatives and come prepared with ideas on how you can contribute to their goals.
