Overview
causaLens delivers digital workers for analytics & data science, transforming the way enterprises automate complex analytics workflows. Our AI agents act as always-on digital workers, eliminating the need for fragmented tools, consultants, and seat licenses. Trusted by industry leaders like Cisco, Johnson & Johnson, and Canon, causaLens empowers teams to achieve insights 10x faster at 1/10th the cost, with guaranteed outcomes and zero overhead.
Culture
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
* PhD in a STEM field with demonstrated experience in research and development to solve complex, previously unseen problems.
* 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
* Tackle some of the most complex and exciting client problems, using your research skills to come up with innovative solutions. Collaborate with others to work on strategic research initiatives.
* 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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