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For Companies At a Glance
- Tasks: Design and deploy cutting-edge AI solutions for top-tier 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 business problems with AI.
- Qualifications: Experience in deploying enterprise-grade AI solutions and strong solution architecture skills.
- Other info: Dynamic culture with opportunities for learning, development, and career growth.
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.
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
- Expertise in the deployment of enterprise-grade AI solutions to cloud and on-premise customer environments with a focus on availability, observability and security.
- Proven track record with at least one of the major cloud providers and an understanding of DevOps best practices.
- 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
- 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 - Infrastructure employer: causaLens
Contact Detail:
causaLens Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer - Infrastructure
✨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 open doors that a CV just can't.
✨Tip Number 2
Prepare for the 'Day 0' challenge by brushing up on your technical skills. Practice coding problems and think about how you can showcase your experience with AI solutions during the in-person presentation.
✨Tip Number 3
Showcase your passion for AI! During interviews, share your thoughts on the latest trends in AI and how they can impact businesses. This will demonstrate your enthusiasm and knowledge in the field.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the causaLens team.
We think you need these skills to ace AI Engineer - Infrastructure
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the AI Engineer role. Highlight your experience with cloud providers and DevOps practices, as these are key to what we’re looking for at causaLens.
Showcase Your Projects: Don’t just list your skills; show us what you’ve done! Include specific examples of AI solutions you've deployed, especially those that had a measurable impact. We love seeing real-world applications of your work.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to explain complex concepts, as this reflects the kind of communication we value when working with clients and stakeholders.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining the causaLens team!
How to prepare for a job interview at causaLens
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI technologies, especially LLMs, RAGs, and agentic workflows. Be ready to discuss how you've deployed these solutions in real-world scenarios, as this will show your hands-on experience and expertise.
✨Understand the Company Culture
Read up on causaLens and their approach to simplifying workflows with Digital Workers. Familiarise yourself with their hiring framework and values, as this will help you align your answers with what they’re looking for in a candidate.
✨Prepare for Client-Facing Scenarios
Since the role involves working directly with clients, think of examples where you've successfully collaborated with technical teams and business stakeholders. Highlight your ability to translate complex problems into scalable solutions, as this is key for the interview.
✨Practice Your Presentation Skills
Given that there's a 'Day 0' challenge involving a presentation, practice explaining your projects clearly and confidently. Focus on how you can convey technical concepts to non-technical audiences, as this will demonstrate your communication skills.
