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- Tasks: Design and deploy cutting-edge AI solutions for top-tier enterprises.
- Company: Join causaLens, a pioneering tech company transforming the future of work.
- Benefits: Enjoy 25 days paid holiday, share options, and a great work-life balance.
- 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 client-facing skills.
- Other info: Dynamic team culture with opportunities for learning and development.
The predicted salary is between 36000 - 60000 £ 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
Logistics:
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 talent@causalens.com.
AI Engineer employer: causaLens
Contact Detail:
causaLens Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Get to know causaLens and our mission! Familiarise yourself with our Digital Workers and how they’re changing the game for enterprises. This will help you tailor your conversations during interviews and show that you're genuinely interested in what we do.
✨Tip Number 2
Prepare for the 'Day 0' challenge by brushing up on your technical skills. Think about real-world problems you've solved using AI and be ready to discuss them. We want to see how you think and approach challenges, so practice articulating your thought process.
✨Tip Number 3
Don’t shy away from asking questions during your interviews! It shows that you’re engaged and eager to learn more about our projects and culture. Plus, it’s a great way to figure out if we’re the right fit for you too.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it gives you a chance to explore more about our company and the exciting work we’re doing in the AI space.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Show Your Passion: When you're writing your application, let your enthusiasm for AI and digital transformation shine through. We want to see that you’re genuinely excited about the role and how you can contribute to our mission of simplifying workflows with Digital Workers.
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 Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Remember, we want to understand your skills and experiences without getting lost in the details.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen to join 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. Being able to articulate how you can add value will set you apart from other candidates.
✨Showcase Your Collaboration Skills
Since you'll be working with both technical teams and business stakeholders, highlight your experience in client-facing roles. Share examples of how you've successfully collaborated to deliver impactful solutions.
✨Prepare for the Challenge
The 'Day 0' challenge is a big part of the interview process. Practice problem-solving under pressure and be ready to present your ideas clearly. This is your chance to shine, so make sure you're well-prepared!
