At a Glance
- Tasks: Build and deploy cutting-edge AI systems that transform enterprise workflows.
- Company: Join a rapidly scaling tech company backed by top investors.
- Benefits: Enjoy competitive pay, 25 days holiday, and a great work-life balance.
- Other info: Work in a dynamic culture that values ownership and intellectual rigour.
- Why this job: Make a real impact with advanced AI in a collaborative environment.
- Qualifications: Experience in AI systems and a passion for solving complex business problems.
The predicted salary is between 60000 - 80000 € per year.
The next wave of enterprise software won’t be dashboards or copilots. It will be Digital Workers, autonomous AI systems capable of executing complex workflows end-to-end. At causaLens, we are building the platform that enables enterprises to deploy these Digital Workers safely and at scale. Our Digital Worker Factory allows organisations to design, deploy, and manage AI agents that automate decision-making, analytics, and operational workflows across the enterprise. These systems are already being used by global companies including Johnson & Johnson, Syneos Health and Cisco to transform how work gets done.
Backed by $50M+ in funding from Molten Ventures, Dorilton Capital, and IQ Capital, and supported by visionary investors including the CEO of Revolut, causaLens is scaling rapidly. Our team includes leading AI researchers, engineers, and scientists, almost 20% with PhDs.
We’re hiring an AI Engineer to build and deploy enterprise-grade AI systems and digital workers in production. You’ll work closely with global organisations, embedding with clients to untangle complex workflows and translate them into reliable, scalable agentic systems—integrating models, data, and enterprise infrastructure into solutions that operate in real-world environments.
We’re looking for engineers who want to apply advanced AI to meaningful business problems. You’ll contribute to systems spanning LLMs, multi-agent coordination, retrieval and reasoning, and enterprise data integration; building software that automates workflows and takes action, rather than producing static outputs. Our stack typically includes Python, modern LLM frameworks, orchestration tools, and cloud platforms such as AWS, GCP, or Azure.
What you’ll bring:
- Proven hands-on experience building production-grade solutions using LLMs, RAG pipelines, MCPs, and agentic workflows
- A forward-deployed, client-first mindset, with experience working directly with both technical teams and business stakeholders
- Strong delivery capabilities, with the ability to translate complex business problems into scalable AI systems
- A track record of delivering measurable impact through applied AI
What you’ll do:
- Partner with leading enterprises to understand their needs and design tailored agentic workflows
- Implement robust, scalable systems leveraging the latest advancements in AI
- Own the end-to-end delivery of high-impact AI products, from concept through to production deployment
Our culture values intellectual rigour, ownership, and the primacy of winning. We expect tech team members to work from the office 1-2 days per week.
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
Remote Engineer:in (m/w/d) in Hammersmith employer: causaLens
At causaLens, we pride ourselves on being an exceptional employer, fostering a culture of intellectual rigour and ownership while driving innovation in AI technology. Our commitment to employee growth is evident through our collaborative work environment, where engineers engage directly with global enterprises to tackle meaningful challenges, all while enjoying competitive remuneration, generous holiday allowances, and a healthy work-life balance. Join us in shaping the future of enterprise software as part of a rapidly scaling team backed by leading investors.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Engineer:in (m/w/d) in Hammersmith
✨Tip Number 1
Network like a pro! Reach out to people in your field on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects and contributions. This gives potential employers a taste of what you can do, especially in AI and engineering.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to AI systems and workflows. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨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, we love seeing candidates who are genuinely interested in joining causaLens.
We think you need these skills to ace Remote Engineer:in (m/w/d) in Hammersmith
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let us see your enthusiasm for AI and how it can solve real-world problems. Share specific examples of projects you've worked on that demonstrate your skills and passion for the field.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for the role. Highlight your experience with LLMs, cloud platforms, and any relevant projects that align with what we do at causaLens. This shows us you’ve done your homework!
Be Clear and Concise:Keep your application clear and to the point. We appreciate straightforward communication, so avoid jargon unless it's necessary. Make it easy for us to see your qualifications and how they fit the role.
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’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 systems, especially LLMs and agentic workflows. Be ready to discuss your hands-on experience with these technologies and how you've applied them to solve real-world problems.
✨Understand the Company Culture
Read up on causaLens's culture by checking out the articles provided in the job description. Understanding their values around intellectual rigour and ownership will help you align your answers with what they’re looking for.
✨Prepare Real-World Examples
Think of specific projects where you’ve built production-grade solutions. Be prepared to explain the challenges you faced, how you collaborated with teams, and the measurable impact your work had on the business.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the company’s future direction. This shows your genuine interest and helps you gauge if this is the right fit for you. Ask about their approach to integrating AI into workflows or how they measure success.
