At a Glance
- Tasks: Lead AI integration in a global SaaS platform and drive innovative solutions.
- Company: Join a dynamic global SaaS company focused on AI transformation.
- Benefits: Highly competitive salary, 15% annual bonus, and fully remote work.
- Other info: Opportunity for hands-on influence and career growth in a fast-paced tech landscape.
- Why this job: Make a real impact by shaping the future of AI in a collaborative environment.
- Qualifications: Experience in AI/ML engineering and strong software development skills required.
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 employer: Neulinx
At Neulinx, we pride ourselves on being an exceptional employer, offering a fully remote work environment that fosters innovation and collaboration. Our culture is built on empowerment, providing AI Engineers with the opportunity to lead impactful projects while enjoying a highly competitive salary and a generous annual bonus. With a focus on professional growth and the chance to work directly with senior leadership, this role is perfect for those looking to make a meaningful contribution in a dynamic global SaaS company.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow AI enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving LLMs and MCP services. 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 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 AI Engineers. By applying directly, you’ll ensure your application gets the attention it deserves and you might just land that dream role!
We think you need these skills to ace AI Engineer
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, software engineering, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
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 you can contribute to our team. Be sure to mention specific experiences that demonstrate your ability to drive AI adoption.
Showcase Your Technical Skills:In your application, don't forget to showcase your technical skills, especially with LLMs and MCP. We love seeing practical examples of how you've implemented AI solutions in past roles, so include those details!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, we can't wait to see your application!
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. 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 abilities 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.
✨Be Ready to Collaborate
You'll need to partner closely with software engineers and senior leadership. Prepare to discuss how you've influenced teams in the past and how you plan to encourage wider AI adoption. Show them you're a team player who can lead through technical delivery!
