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For Companies At a Glance
- Tasks: Design and deliver innovative AI solutions for leading enterprises.
- Company: Join a pioneering tech company transforming the future with Digital Workers.
- Benefits: Enjoy 25 days holiday, share options, and a great work-life balance.
- Why this job: Make a real impact by solving complex problems with cutting-edge AI technology.
- Qualifications: PhD in STEM and hands-on experience with AI solutions required.
- Other info: Collaborative culture with excellent growth opportunities and fun team outings.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Overview
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.
Here are 2 articles that define our culture: 1. A Hiring Framework for a New Kind of Services Company. 2. The Primacy of Winning.
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:
- PhD in a STEM field with demonstrated experience in research and development to solve complex, previously unseen problems.
- 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:
- Tackle some of the most complex and exciting client problems, using your research skills to come up with innovative solutions. Collaborate with others to work on strategic research initiatives.
- 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
We care about our people’s lives, both inside and outside of causaLens. Beyond the core benefits like competitive remuneration and a great work-life balance, we offer the following:
- 25 days of paid holiday, plus bank holidays
- Carry over/sell holiday options (up to 5 days)
- Share options
- Pension scheme
- 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
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AI Engineer - Research employer: causaLens
Contact Detail:
causaLens Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer - Research
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at causaLens or similar companies. A friendly chat can open doors and give you insights that might just help you land that AI Engineer role.
✨Tip Number 2
Prepare for the 'Day 0' challenge! Brush up on your problem-solving skills and be ready to showcase your innovative thinking. Practising with real-world scenarios can give you the edge you need to impress during the in-person challenge.
✨Tip Number 3
Showcase your passion for AI! During interviews, share your experiences and projects that highlight your hands-on skills with LLMs and agentic workflows. Let them see how excited you are about solving complex problems with cutting-edge technology.
✨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 and contributing to our mission of simplifying workflows with Digital Workers.
We think you need these skills to ace AI Engineer - Research
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for AI and solving complex problems shine through. We want to see that you’re not just qualified, but genuinely excited about the work we do at causaLens.
Tailor Your CV: Make sure your CV highlights relevant experience, especially in research and development. We love seeing hands-on projects that demonstrate your ability to build production-grade solutions using LLMs and other technologies.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re a great fit for the AI Engineer role. Share specific examples of how you’ve tackled real-world challenges and delivered impactful solutions in the past.
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 don’t miss out on any important updates during the process!
How to prepare for a job interview at causaLens
✨Know Your AI Stuff
Make sure you brush up on the latest AI technologies and methodologies, especially around LLMs, RAGs, and agentic workflows. Be ready to discuss your hands-on experience and how you've tackled complex problems in your previous roles.
✨Understand Their Culture
Read up on causaLens' culture by checking out the articles they provided. Understanding their hiring framework and values will help you align your answers with what they’re looking for, showing that you’re a great fit for their team.
✨Prepare for Real-World Scenarios
Since the interview includes a practical challenge, think about how you would approach real-world client problems. Prepare to showcase your solution architecture skills and how you can translate complex issues into scalable AI solutions.
✨Engage with Questions
Don’t hesitate to ask questions during the interview. This shows your interest in the role and helps you understand their expectations better. Inquire about their current projects or challenges they face, and think about how you could contribute.
