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- 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 paid 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 career growth and learning opportunities.
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 holidaysCarry over/sell holiday options (up to 5 days)Share optionsPension schemeHappy hours and team outingsReferral bonus programCycle to work schemeFriendly tech purchasesBenefits to choose from, including Health/Dental InsuranceSpecial DiscountsLearning and development budgetWork abroad daysOffice snacks and drinksLogistics 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 at causaLens. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Prepare for the 'Day 0' challenge! Brush up on your problem-solving skills and be ready to showcase your innovative thinking. This is your chance to shine and show how you tackle complex issues.
✨Tip Number 3
Showcase your hands-on experience! Be ready to discuss specific projects where you've built production-grade solutions. Highlighting your real-world impact will make you stand out.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who are proactive!
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 in research and development, especially with LLMs and agentic workflows. We love seeing how your skills align with our mission, so don’t hold back!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re the perfect fit for the AI Engineer role. Share specific examples of past projects and how they relate to the challenges we tackle at causaLens.
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 the role. Plus, it shows you’re keen on joining our team!
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 relevant to the role. Be ready to discuss your hands-on experience with LLMs, RAGs, and agentic workflows. This will show that you're not just familiar with theory but can apply it in real-world scenarios.
✨Understand Their Business
Before the interview, take some time to research causaLens and their Digital Workers. Understand the challenges they aim to solve for enterprises and think about how your skills can contribute to those solutions. This will help you tailor your answers and demonstrate your genuine interest in the company.
✨Prepare for the Challenge
Since the interview includes a 'Day 0' challenge, practice problem-solving under pressure. Think of complex problems you've tackled in the past and be ready to explain your thought process. This will help you shine during the practical assessment and show your ability to deliver high-impact AI products.
✨Engage with Questions
Don’t forget that interviews are a two-way street! Prepare thoughtful questions about the team dynamics, project expectations, and company culture. This not only shows your enthusiasm but also helps you gauge if this is the right fit for you.
