AI Engineer - Data Science
Role details
Job location
Tech stack
Job description
- 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.
You'll collaborate with top-tier enterprises to design and deploy bespoke data science agents, empowering users to fully leverage the capabilities of our platform.
Requirements
We are seeking AI Engineers with strong data science expertise 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., * experience with traditional data science and machine learning (solid stats, programming, ideally exposure to MLOps, etc.)
- critical: 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.
Benefits & conditions
We care about our people's lives, both inside and outside of causaLens. Beyond the core benefits like competitive remuneration and a good 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 approx 3 hours in-person challenge followed by an in-person presentation and interviews.
Have questions? We encourage open dialogue-reach out anytime.