OverviewcausaLens delivers digital workers for analytics and 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 and Johnson, and Canon, causaLens empowers teams to achieve insights 10x faster at 1/10th the cost, with guaranteed outcomes and zero overhead.
CultureWe’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.
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 ..... full job details .....