At a Glance
- Tasks: Design and implement cutting-edge AI systems that drive real business outcomes.
- Company: Join NewDay, a forward-thinking company embracing diversity and innovation.
- Benefits: Enjoy 26 days holiday, private medical insurance, and free meals in the office.
- Other info: Inclusive culture with excellent career growth opportunities and support for all applicants.
- Why this job: Make a tangible impact with your AI skills in a dynamic, collaborative environment.
- Qualifications: Proven experience in delivering production-grade AI systems and strong software engineering fundamentals.
The predicted salary is between 70000 - 90000 £ per year.
We’re hiring a Senior AI Engineer to design and deliver AI systems across the business. This is a hands-on role focused on building production-grade solutions using LLMs and agentic systems, embedding AI directly into core business processes rather than building isolated prototypes. You’ll take high-value problems and turn them into scalable, reliable systems used in real workflows, driving measurable business outcomes.
You’ll contribute significantly to technical direction, architecture, and implementation, translating defined business priorities into robust, production-ready systems. You’ll make key technical contributions and work hands-on alongside engineers to deliver solutions that are reusable, scalable, and built for long-term impact.
How You’ll Contribute
- Design and implement AI systems end-to-end, contributing to technical direction and architecture
- Build LLM-powered and agent-based solutions from concept through to production
- Contribute to engineering standards, patterns, and reusable components across use cases
- Make informed technical decisions on models, tooling, infrastructure, and system design within agreed architectural direction
- Ensure systems are robust, observable, and production-ready (evaluation, monitoring, guardrails)
- Provide technical guidance and mentorship to engineers contributing to AI initiatives
We're Looking For These Essential Skills
- Proven experience delivering production-grade AI systems end-to-end
- Experience designing and implementing complex AI systems across multiple use cases or domains
- Strong expertise in generative AI / LLMs, including orchestration, prompting, and evaluation
- Experience building agentic or multi-step AI systems
- Strong software engineering fundamentals including APIs, system design, and cloud-based architectures
- Ability to operate effectively in ambiguous or fast-moving problem spaces
- Experience contributing to and influencing engineering standards and practices across projects
It’s a plus if you also have these skills
- Experience contributing to AI platforms or reusable frameworks and patterns
- Familiarity with LLMOps / MLOps and production evaluation practices
- Experience embedding AI into core business processes or enterprise systems
- Experience working in large-scale or regulated enterprise environments
What's in it for you?
- 26 days holiday, rising to 30 with service
- A holiday buy scheme (up to 5 extra days)
- Double matched pension, with up to 14% from NewDay
- Generous annual performance bonuses
- Private medical insurance with Bupa, including mental health support and cancer care
- 26 weeks paid maternity, adoption and shared parental leave
- Free breakfast and lunch in the office every day, provided by our in-house chefs
- …and more, which you can explore here!
At NewDay, we value all types of diversity. We’re an equal opportunity employer and believe that our differences create a vibrant, authentic working culture. We want all our colleagues to feel able to bring their whole selves to work. We don’t discriminate on the basis of protected characteristics or identities. We make sure that every job is crafted to be inclusive and that people with disabilities or caring responsibilities can take part in the application and interview process.
Tell us if you need accommodations: We’ll put reasonable adjustments in place to support you. We work with Textio to make our job design and hiring inclusive.
Permanent
Senior AI Engineer employer: NewDay
At NewDay, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Senior AI Engineer, you'll enjoy generous benefits such as 26 days of holiday, a double matched pension scheme, and private medical insurance, all while working in an inclusive environment that values diversity and personal growth. With opportunities for mentorship and hands-on contributions to impactful AI systems, you'll be part of a team dedicated to driving meaningful business outcomes in a supportive and vibrant workplace.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. 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 agentic systems. This will give you a leg up during interviews and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on your software engineering fundamentals. Be ready to discuss system design, APIs, and cloud architectures, as these are key areas for a Senior AI Engineer role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at NewDay.
We think you need these skills to ace Senior AI Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior AI Engineer role. Highlight your experience with production-grade AI systems and any specific projects that showcase your skills in LLMs and agentic systems. We want to see how you can contribute to our mission!
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 aligns with our goals at StudySmarter. Be sure to mention any relevant experience that demonstrates your ability to design and implement complex AI systems.
Showcase Your Technical Skills:In your application, don’t forget to highlight your technical expertise. Mention your experience with APIs, system design, and cloud-based architectures. We’re looking for someone who can make informed decisions on models and tooling, so let us know what you’ve done!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to provide all the necessary information in one go. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at NewDay
✨Know Your AI Stuff
Make sure you brush up on your knowledge of generative AI and LLMs. Be ready to discuss specific projects where you've designed and implemented AI systems, focusing on the end-to-end process. Highlight your experience with orchestration and evaluation, as these are key areas for the role.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled complex problems in fast-moving environments. Think of examples where you've turned high-value challenges into scalable solutions. This will demonstrate your ability to operate effectively under pressure and contribute to technical direction.
✨Be Hands-On
Since this is a hands-on role, be ready to discuss your practical experience. Share specific instances where you've worked alongside engineers to deliver production-ready systems. Emphasise your contributions to engineering standards and reusable components, as this shows your collaborative spirit.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to embedding AI into core business processes. This not only shows your interest but also your understanding of the role's impact on the business. It’s a great way to demonstrate that you’re thinking about long-term outcomes and scalability.
