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- Tasks: Design and deploy cutting-edge AI solutions for top-tier enterprises.
- Company: Join causaLens, a pioneering tech company transforming the future of work.
- Benefits: Enjoy 25 days paid holiday, share options, and a great work-life balance.
- Other info: Dynamic culture with opportunities for learning, development, and career growth.
- Why this job: Make a real impact by solving business problems with innovative AI technologies.
- Qualifications: Experience in deploying enterprise-grade AI solutions and strong solution architecture skills.
The predicted salary is between 36000 - 60000 ÂŁ per year.
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:
- 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
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
Get to know the company inside out! Before your interview, dive into causaLens' mission and values. Understanding how they simplify workflows with Digital Workers will help you connect your skills to their needs.
✨Tip Number 2
Show off your hands-on experience! Be ready to discuss specific projects where you've deployed AI solutions. Highlight your expertise with cloud providers and DevOps practices to demonstrate you're the right fit for their high-impact projects.
✨Tip Number 3
Prepare for the 'Day 0' challenge! This is your chance to shine, so practice presenting your ideas clearly and confidently. Think about how you can translate complex problems into simple, scalable solutions that align with what causaLens is all about.
✨Tip Number 4
Don’t hesitate to reach out! If you have questions or need clarification about the role or the process, drop them a line at talent@causalens.com. It shows you're proactive and genuinely interested in joining their team!
We think you need these skills to ace AI Engineer - Infrastructure
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Engineer role. Highlight your experience with cloud providers and any hands-on projects you've worked on that relate to deploying AI solutions. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how you can help enterprises simplify their workflows. Be sure to mention any relevant client-facing experience, as we value that highly.
Showcase Your Projects: If you've worked on any impactful AI projects, make sure to showcase them in your application. We love seeing real-world examples of your work, especially if they demonstrate your ability to solve complex business problems with intelligent solutions.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy to do!
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 and agentic workflows. Be ready to discuss how you've deployed enterprise-grade AI solutions in the past, as this will show your expertise and passion for the field.
✨Understand Their Needs
Before the interview, research causaLens and their approach to Digital Workers. Think about how you can help them simplify processes and solve real business problems. This will demonstrate your client-facing mindset and ability to translate complex challenges into scalable solutions.
✨Showcase Your Collaboration Skills
Since you'll be working directly with technical teams and business stakeholders, prepare examples of how you've successfully collaborated in the past. Highlight any experiences where you led projects from concept to deployment, as this aligns perfectly with what they’re looking for.
✨Prepare for the Challenge
The interview process includes a 3-hour in-person challenge, so practice problem-solving under pressure. Familiarise yourself with common scenarios in AI deployment and think through how you would tackle them. This will help you feel more confident and ready to impress during the 'Day 0' challenge.