- We are on a mission to automate advanced knowledge work that takes place in front of computers. So that we can all spend more time with customers, new products, more interesting work, and family, not inside CRMs, ERPs and spreadsheets.
- We pioneer Digital Knowledge Workers, multi-agentic systems that reliably automate end-to-end workflows. Some examples are here: causalens.com/our-digital-worker-blueprints
- We have raised $51M from top VCs and top angel investors, including the CEO of Revolut. 3x ARR growth last year. One of the hottest AI scaleups in London.
- Unique IP in multi-agentic reliability. Read more on agentic data mesh, agentic QA, memory, and more here: causalens.com/the-reliability-features
- Unique IP in causal reasoning: causalens.com/causal-reasoning-lab. Causal reasoning helps with reliability and advanced reasoning. That is where we started our journey. In 2025 we combined causal with agentic AI into the concept of Digital Knowledge Workers that reliably automate end-to-end processes.
- You will be working on the cutting edge of AI for the enterprise.
- Ownership. Fast-paced environment, team of ~20 engineers. You will be given the opportunity to fast-track your career, get a lot of ownership quickly and prove yourself.
The Role
We are hiring AI Engineers to build and deploy enterprise-grade AI systems and Digital Workers in production. You will 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.
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 not do
- R&D in the lab, isolated from customers
- Product or platform development. There is a separate team internally for this
Our stack
Python, modern LLM frameworks, orchestration tools, and cloud platforms including AWS, GCP and Azure. We deploy anywhere as a Docker image.
You will contribute to systems spanning LLMs, multi-agent coordination, retrieval and reasoning, and enterprise data integration. Software that automates workflows and takes action, rather than producing static outputs.
Salary and equity
If you join causaLens, the base salary is not the reason. The reason is equity in a company growing 3x a year and the kind of ownership you cannot get at a larger firm.
Our standard range is £55k-£120k, depending on experience
The Culture
Our culture values intellectual rigour, ownership and the primacy of winning. Two articles that define how we think:
- A Hiring Framework for a New Kind of Services Company — anjor.xyz
- The Primacy of Winning — piratewires.com
We care about our people's lives, both inside and outside of causaLens. Beyond competitive remuneration and a great work-life balance:
- 25 days of paid holiday, plus bank holidays
- Carry over or sell holiday, up to 5 days
- Share options
- Core life cover, 4x annual basic salary
- Health and dental insurance options
- Learning and development budget
- Cycle to work scheme
- Friendly tech purchases
- Happy hours, team outings and office snacks
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