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- Tasks: Design and deploy cutting-edge AI solutions for top-tier enterprises.
- Company: Join causaLens, a leader in transforming analytics with innovative AI technology.
- 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 AI.
- Qualifications: Experience in deploying enterprise-grade AI solutions and strong solution architecture skills.
- Other info: Collaborative culture with opportunities for learning and development.
The predicted salary is between 36000 - 60000 £ 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.
BenefitsWe 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
LogisticsOur 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
Get to know causaLens inside out! Familiarise yourself with our culture and values by reading the articles we shared. This will help you connect your skills and experiences to what we stand for during interviews.
✨Tip Number 2
Practice makes perfect! Prepare for the Day 0 challenge by working on real-world AI projects. Showcase your ability to design and deploy solutions that solve complex problems, just like we do at causaLens.
✨Tip Number 3
Don’t shy away from asking questions! During your interviews, engage with us about our projects and challenges. This shows your interest and helps you understand how you can contribute to our mission.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, it gives you a chance to explore more about the roles we offer and how you can fit in.
We think you need these skills to ace AI Engineer - Infrastructure
Some tips for your application 🫡
Show Your Passion: When you're writing your application, let your enthusiasm for AI and analytics shine through! We want to see that you’re genuinely excited about the role and how you can contribute to our mission at causaLens.
Tailor Your Experience: Make sure to highlight your relevant experience with enterprise-grade AI solutions. We love seeing how your skills align with what we do, so don’t be shy about showcasing your past projects and achievements!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on communicating your ideas effectively. Remember, less is often more!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen to join our 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' culture by checking out the articles provided in the job description. Understanding their values and mission will help you align your answers with what they’re looking for, making you a more appealing candidate.
✨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 showcase your solution architecture skills and your ability to translate complex problems into scalable AI solutions during this challenge.
✨Engage with Stakeholders
Be prepared to discuss your client-facing experience and how you've collaborated with both technical teams and business stakeholders. Highlight specific examples where you’ve successfully delivered impactful solutions, as this will demonstrate your forward-deployed engineering mindset.
