Lead AI Engineer
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 organizations 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.
We are particularly focused on pharmaceutical and life sciences organizations, where AI is rapidly becoming the operating system for commercial analytics, forecasting, regulatory workflows, and medical intelligence.
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.
Here are 2 articles that define our culture:
1. A Hiring Framework for a New Kind of Services Company
The Role
We’re hiring a Lead AI Engineer to design and deliver 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.
Requirements
We’re looking for experienced lead engineers who can own end-to-end delivery ofvadvanced AI systems. You’ll work across LLMs, multi-agent coordination, retrieval andvreasoning, and enterprise data integration; driving the development of systems that automate workflows and execute real business tasks at scale.
Our stack typically includes Python, modern LLM frameworks, orchestration tools, and cloud platforms such as AWS, GCP, or Azure.
What you’ll bring
Deep, hands-on experience building and deploying production-grade AI systems using LLMs, RAG pipelines, MCPs, and agentic workflows
Proven track record of leading complex, client-facing engagements with a forward-deployed mindset, partnering with both technical and business stakeholders
Strong system design and architecture expertise, with the ability to translate ambiguous business challenges into scalable, reliable AI solutions
Experience guiding technical projects, setting technical direction, and driving delivery to measurable outcomes
Solid understanding of evaluation, reliability, and performance considerations in production AI systems
What you’ll do
Work directly with enterprise clients to understand complex operational and analytical workflows
Translate ambiguous business challenges into clear technical strategies and system designs
Design scalable AI architectures and agentic systems combining LLMs, multi-agent orchestration, and knowledge retrieval
Break down initiatives into structured engineering plans and drive execution across teams
Lead technical delivery end-to-end, from architecture through production deployment and iteration
Guide engineers through implementation decisions and provide strong technical leadership throughout delivery
Our culture values intellectual rigour, ownership, and the primacy of winning. We expect team members to work from the office 1-2 days per week.
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
Core life cover for all employees, equivalent to 4x your annual basic salary
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
Recruiter Screen
Hiring Manager / Team Interview (30 mins): Deep dive into past projects, recent
codebases
Take-Home Challenge (3 hours): Testing structured thinking and practical
coding/problem-solving.
"Day 0" Onsite (Hammersmith): * 3 x 30-minute technical interviews.
-Founders/Exec Interview
If you require accommodations during the application process or in your role at causaLens, please contact us at [email protected]