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For Companies At a Glance
- Tasks: Join us as an AI Engineer, transforming analytics workflows for top enterprises.
- Company: CausaLens delivers innovative digital workers for analytics, trusted by industry giants like Cisco and Johnson & Johnson.
- Benefits: Enjoy 25 days paid holiday, share options, and a learning budget, plus flexible work options.
- Why this job: Be part of a cutting-edge team, leveraging the latest AI tools to solve real-world problems.
- Qualifications: Strong data science skills and familiarity with modern AI technologies are essential.
- Other info: Our interview process includes engaging challenges and open communication throughout.
The predicted salary is between 43200 - 72000 £ per year.
Job Description
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:
- 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
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
- 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
Familiarise yourself with the latest AI tools and technologies mentioned in the job description. Being able to discuss your hands-on experience with co-pilots, LLMs, and agentic workflows during interviews will show your proactive approach and enthusiasm for the role.
✨Tip Number 2
Research causaLens and its culture by reading the articles provided in the job description. Understanding their hiring framework and the importance of winning will help you align your answers with their values during the interview process.
✨Tip Number 3
Prepare to showcase your problem-solving skills by thinking of examples where you've translated complex business problems into data-driven solutions. This will be crucial when discussing your experience with clients and stakeholders.
✨Tip Number 4
Practice your presentation skills, as the interview process includes a 'Day 0' challenge that requires you to present your work. Being clear and confident in your delivery will make a strong impression on the hiring team.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Understand the Company Culture: Read the articles provided in the job description to grasp causaLens' culture and values. This understanding will help you tailor your application to align with their ethos.
Highlight Relevant Experience: Emphasise your experience with data science, machine learning, and any exposure to MLOps. Be specific about the tools and technologies you've used, especially those that are current and relevant to AI engineering.
Showcase Problem-Solving Skills: Illustrate how you've translated business problems into scalable solutions in your previous roles. Use concrete examples to demonstrate your ability to work closely with clients and stakeholders.
Prepare for the Interview Process: Familiarise yourself with the interview structure mentioned in the job description. Prepare for the in-person challenge and presentation by practising your problem-solving and communication skills.
How to prepare for a job interview at causaLens
✨Understand the Company Culture
Before your interview, take some time to read up on causaLens and their culture. Familiarise yourself with their hiring framework and values as outlined in the articles provided. This will help you align your answers with what they value in a candidate.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data science and machine learning. Highlight any projects where you've used the latest AI tools and technologies. They are looking for candidates who are proactive in adopting new technologies, so share examples of how you've done this.
✨Prepare for the 'Day 0' Challenge
The interview process includes a practical challenge, so make sure you're ready for it. Brush up on your problem-solving skills and be prepared to demonstrate your ability to translate business problems into intelligent solutions during this session.
✨Engage in Open Dialogue
Don't hesitate to ask questions during your interview. causaLens encourages open communication, so use this opportunity to clarify any doubts you have about the role or the company. This shows your interest and willingness to engage.
