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- Tasks: Research and develop AI solutions to create efficient Digital Workers.
- Company: causaLens, a pioneer in Digital Worker technology.
- Benefits: Attractive salary, flexible hours, and opportunities for growth.
- Why this job: Join a revolutionary team transforming the future of work with AI.
- Qualifications: Experience in AI research and a passion for innovation.
- Other info: Be part of a forward-thinking company shaping the digital landscape.
The predicted salary is between 30000 - 50000 ÂŁ per year.
Direct message the job poster from causaLens
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
Requirements
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
- 25 days of paid holiday, plus bank holidays
- Carry over/sell holiday options (up to 5 days)
- Share options
- Happy hours and team outings
- Cycle to work scheme
- Friendly tech purchases
- Benefits to choose from, including Health/Dental Insurance
- Special Discounts
- Learning and development budget
- 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.
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, attend meetups, and connect with current employees at causaLens. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your AI projects. When you apply through our website, include links to your work so we can see what you’re capable of.
✨Tip Number 3
Prepare for the interview by understanding our Digital Workers and how they simplify workflows. We love candidates who can discuss how their skills align with our mission to revolutionise the workplace.
✨Tip Number 4
Follow up after your interview! A quick thank-you email can keep you fresh in our minds and shows your enthusiasm for the role. Plus, it’s a great chance to reiterate why you’d be a perfect fit!
We think you need these skills to ace AI Engineer - Research
Some tips for your application 🫡
Show Your Passion for AI: When you're writing your application, let your enthusiasm for AI and Digital Workers shine through. We want to see how excited you are about the potential of technology to transform businesses and make life easier!
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the AI Engineer role. Highlight relevant experience and skills that align with what we’re looking for. This shows us you’ve done your homework and are genuinely interested in joining our team.
Be Clear and Concise: Keep your application clear and to the point. We appreciate straightforward communication, so avoid jargon and fluff. Make it easy for us to see why you’d be a great fit for the role!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the position. Plus, it’s super easy to do!
How to prepare for a job interview at causaLens
✨Understand the Digital Worker Concept
Before your interview, make sure you grasp what Digital Workers are and how they can transform enterprises. Familiarise yourself with causaLens's approach to simplifying workflows and how AI plays a role in this. This knowledge will help you engage in meaningful discussions during the interview.
✨Showcase Your Research Skills
As an AI Engineer, your ability to conduct thorough research is crucial. Prepare examples of past projects where you’ve used research to solve complex problems or improve processes. Be ready to discuss methodologies and outcomes, as this will demonstrate your analytical skills and innovative thinking.
✨Prepare for Technical Questions
Expect technical questions that assess your understanding of AI and machine learning principles. Brush up on relevant algorithms, frameworks, and tools that are commonly used in the industry. Practising coding challenges or problem-solving scenarios can also give you an edge in showcasing your technical prowess.
✨Align with Their Vision
CausaLens is all about simplifying work through Digital Workers. During the interview, express your enthusiasm for this vision and how your skills align with their goals. Share your thoughts on the future of AI in the workplace and how you see yourself contributing to their mission of freeing humans from repetitive tasks.
