At a Glance
- Tasks: Lead the development of innovative AI products and scale intelligent systems.
- Company: Join a cutting-edge tech organisation focused on AI-native solutions.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with a focus on collaboration and innovation.
- Why this job: Shape the future of AI and impact millions with your work.
- Qualifications: Experience in AI product engineering and strong Python skills required.
The predicted salary is between 80000 - 100000 € per year.
This is an exceptional opportunity for an AI Engineering Lead to join a cutting-edge technology organisation building intelligent, AI-native products that deliver highly adaptive and personalised user experiences at scale.
Our client is seeking a hands-on AI Engineering Lead who has built and owned AI products end-to-end within fast-moving, product-focused AI businesses, rather than traditional enterprise ML or research-led environments. The AI Engineering Lead will have led AI engineering within smaller AI-native organisations across areas such as LLMs, NLP, conversational AI, agentic workflows, and AI product platforms. The AI Engineering Lead will take ownership of the architecture, development, and scaling of core AI systems powering real-time intelligent experiences, working closely with product, engineering, and leadership teams to deliver production-grade AI solutions from experimentation through to deployment and optimisation. As an AI Engineering Lead, you will remain deeply hands-on technically whilst shaping AI strategy, platform capability, and product direction.
Key Skills as AI Engineering Lead:
- Proven experience scaling AI products within AI-native or product-focused businesses.
- Expertise ideally across LLMs, NLP, Generative AI, RAG, and agentic workflows.
- Strong Python and software engineering experience within scalable distributed systems.
- Experience deploying and optimising production AI systems at scale.
- Strong understanding of AI evaluation, observability, and experimentation.
- Strong communication, collaboration, and commercial awareness.
This is a unique opportunity to help define and scale next-generation AI experiences within a highly innovative environment, working on products used by millions globally.
Key Skills: SaaS, LLMs, AI, Distributed Systems, Scalable Architecture, AI Product Engineering, Python, RAG, Agentic Workflows, Technical Leadership, AI Strategy, Remote
*Proven experience building and scaling production AI systems within product-focused environments is essential.
AI Engineering Lead - Remote (UK) in Leigh employer: NST - Nova Source Technologies
Join a pioneering technology organisation that champions innovation and creativity, offering an exceptional work culture where collaboration and technical excellence thrive. As an AI Engineering Lead, you will benefit from flexible remote working arrangements, competitive compensation, and opportunities for professional growth in a dynamic environment focused on developing cutting-edge AI products that impact millions globally.
Contact Detail:
NST - Nova Source Technologies Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineering Lead - Remote (UK) in Leigh
✨Tip Number 1
Network like a pro! Reach out to folks in the AI space, especially those who work at companies you're interested in. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your AI projects, especially those involving LLMs or scalable systems. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by brushing up on technical concepts and real-world applications. Be ready to discuss how you've tackled challenges in AI product engineering and how you can contribute to their team.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are proactive and engaged. Plus, it makes it easier for us to connect with you about exciting opportunities in AI engineering.
We think you need these skills to ace AI Engineering Lead - Remote (UK) in Leigh
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with AI products, especially in fast-paced environments. We want to see how you've scaled AI systems and your hands-on technical skills, so don’t hold back!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for AI and how your background aligns with our mission at StudySmarter. Be specific about your achievements in AI engineering and product development.
Showcase Your Technical Skills:We’re looking for expertise in Python, LLMs, and scalable architecture. Make sure to include relevant projects or experiences that demonstrate your technical prowess and problem-solving abilities in your application.
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 engineering at StudySmarter!
How to prepare for a job interview at NST - Nova Source Technologies
✨Know Your AI Stuff
Make sure you brush up on your knowledge of LLMs, NLP, and generative AI. Be ready to discuss specific projects where you've built or scaled AI products, as this will show your hands-on experience in a product-focused environment.
✨Showcase Your Technical Skills
Prepare to dive deep into your Python and software engineering expertise. Have examples ready that demonstrate your ability to develop scalable distributed systems and deploy production-grade AI solutions. This is your chance to shine technically!
✨Communicate Clearly
Strong communication is key! Practice explaining complex AI concepts in simple terms. You’ll need to collaborate with various teams, so being able to articulate your ideas clearly will set you apart from other candidates.
✨Understand the Business Side
Don’t forget to highlight your commercial awareness. Be prepared to discuss how your technical decisions impact the business and user experience. Showing that you can align AI strategy with business goals will impress the interviewers.
