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- Tasks: Design and deploy cutting-edge AI solutions for top-tier enterprises.
- Company: Join causaLens, a pioneering tech company revolutionising the future of work.
- Benefits: Enjoy 25 days paid holiday, share options, and a great work-life balance.
- Other info: Dynamic culture with opportunities for learning, development, and career growth.
- Why this job: Make a real impact by solving complex business problems with innovative AI technology.
- Qualifications: Experience in building production-grade AI solutions and strong problem-solving skills.
The predicted salary is between 60000 - 80000 £ per year.
causaLens delivers Digital Workers that enterprises can truly rely on. Soon, competing without Digital Workers will be impossible. Just as it became unthinkable to manufacture without machines. We've built the first factory and Operating System for creating, deploying, and governing Digital Workers. For too long, enterprises have been bogged down by repetitive work, an overload of tools, and costly consultancies. It's time to simplify. It's time for Digital Workers to take on the repetitive workflows, freeing humans to focus on what matters most. Trusted by leading companies like J&J, Cisco, IPG Group, and Syneos Health. Backed by over $50M in funding from world-class investors, including Molten Ventures (formerly Draper Esprit), Dorilton Capital, and IQ Capital, plus visionary angel investors such as the CEO of Revolut.
We're looking for AI Engineers who are passionate about helping world-leading enterprises put cutting-edge AI agents into production. You'll work on impactful, high-visibility projects - designing, building, and delivering intelligent solutions that solve real business problems at scale.
What you'll bring:
- Hands-on experience building production-grade solutions using LLMs, RAGs, MCPs, and agentic workflows.
- Client-facing experience with a forward-deployed engineering mindset. You'll work directly with both technical teams and business stakeholders to understand real-world challenges and deliver solutions that drive measurable impact.
- Strong solution architecture and delivery skills: ability to translate complex business problems into scalable, intelligent AI solutions.
What you'll do:
- Collaborate directly with top-tier enterprises to understand needs, design and deploy bespoke agentic workflows.
- Design and implement robust architectures that leverage the latest AI technologies.
- Lead the delivery of high-impact AI products from concept to deployment.
Benefits:
- 25 days of paid holiday, plus bank holidays
- Carry over/sell holiday options (up to 5 days)
- Share options
- Pension scheme
- Core life cover for all employees, equivalent to 4x your annual basic salary
- Happy hours and team outings
- Referral bonus program
- Cycle to work scheme
- Friendly tech purchases
- Benefits to choose from, including Health/Dental Insurance
- Special Discounts
- Learning and development budget
- Work abroad days
- Office snacks and drinks
Our interview process consists of screening sessions with the hiring manager and a "Day 0" which involves an approximately 3-hour in-person challenge followed by an in-person presentation and interviews. Have questions? We encourage open dialogue—reach out anytime. If you require accommodations during the application process or in your role at causaLens, please contact us at.
Artificial Intelligence Engineer in London employer: causaLens
Contact Detail:
causaLens Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at causaLens. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Prepare for the 'Day 0' challenge! Brush up on your technical skills and be ready to showcase your problem-solving abilities. Practice makes perfect, so simulate the experience with friends or colleagues.
✨Tip Number 3
Show your passion for AI! During interviews, share your thoughts on the latest trends and how you see AI evolving. This will demonstrate your enthusiasm and commitment to the field.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in being part of the causaLens team.
We think you need these skills to ace Artificial Intelligence Engineer in London
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for AI and digital transformation shine through. We want to see that you’re genuinely excited about the impact of AI on businesses and how you can contribute to that journey.
Tailor Your Experience: Make sure to highlight your hands-on experience with LLMs, RAGs, and agentic workflows. We’re looking for specific examples of how you’ve tackled real-world challenges, so don’t hold back on the details!
Be Client-Focused: Since you’ll be working directly with clients, it’s important to showcase your client-facing experience. Talk about how you’ve collaborated with technical teams and business stakeholders to deliver impactful solutions.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and get you into our system quickly. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at causaLens
✨Know Your AI Stuff
Make sure you brush up on your knowledge of LLMs, RAGs, and agentic workflows. Be ready to discuss how you've applied these technologies in real-world scenarios. The more specific examples you can provide, the better!
✨Understand Their Needs
Before the interview, research causaLens and their approach to Digital Workers. Think about how your skills can help solve their challenges. Showing that you understand their business will set you apart from other candidates.
✨Prepare for the Challenge
Since there's a 3-hour in-person challenge, practice problem-solving under time constraints. Familiarise yourself with common AI engineering tasks and be ready to showcase your thought process during the challenge.
✨Engage with Stakeholders
Highlight your client-facing experience and how you've collaborated with both technical teams and business stakeholders. Be prepared to discuss how you translate complex problems into scalable solutions, as this is key for the role.