Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- 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.
- Why this job: Make a real impact by solving complex business problems with innovative AI technologies.
- Qualifications: Experience in deploying enterprise-grade AI solutions and strong solution architecture skills.
- Other info: Dynamic team culture with opportunities for learning and development.
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
Network like a pro! Reach out to people in the industry, especially those at causaLens. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Prepare for the 'Day 0' challenge by brushing up on your technical skills. Practice coding and problem-solving under time pressure to show off your best self!
✨Tip Number 3
Showcase your passion for AI! During interviews, share your projects or experiences that highlight your expertise in deploying AI solutions. Let your enthusiasm shine through!
✨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 take that extra step.
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 include 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 directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're serious about joining our team at causaLens!
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 your hands-on experience with deploying enterprise-grade AI solutions and how you've tackled real-world challenges in previous roles.
✨Understand Their Culture
Read the articles provided about causaLens' culture. Understanding their hiring framework and values will help you align your answers with what they’re looking for. Show that you’re not just a fit for the role, but also for their team dynamic.
✨Prepare for the Challenge
Since the interview includes a 3-hour in-person challenge, practice problem-solving under time constraints. Think about how you can demonstrate your solution architecture skills and your ability to translate complex problems into scalable solutions during this challenge.
✨Engage with Questions
Don’t hesitate to ask questions during the interview. This shows your interest in the role and helps you understand their needs better. Prepare thoughtful questions about their projects, team structure, and how they measure success in AI deployments.