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 do
- Partner with leading enterprises to understand their needs and design tailored agentic workflows
- Implement robust, scalable systems leveraging the latest advancements in AI
- Own the end-to-end delivery of high-impact AI products, from concept through to production deployment
- Be at the forefront of implementing solutions for clients and help integrate these learnings into our core tech
What you'll not do
- R&D in the lab, isolated from customers
- Product or platform development — there is a separate internal team for this
A day in the life
This is a forward-deployed role: engineers are embedded directly with enterprise clients, untangling messy real-world workflows and translating them into reliable agentic systems. That involves working closely with both technical teams and business stakeholders to design the workflow, then building it — LLMs, RAG pipelines, MCPs, multi-agent orchestration — and owning it end to end, from concept through to running live in the client's environment. Engineers in this role carry their work through to production rather than handing it off.
This role explicitly does not involve R&D conducted in isolation from customers, and it is not product or platform development, which sits with a separate internal team. Candidates looking to publish research or build internal tooling with no client contact should look elsewhere; this role is defined by real clients, real workflows, and real production deployment, delivered quickly.
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.
If you email me (amman@causalens.com), your application will get more attention.
Company Description
causaLens builds Digital Workers that enterprises can rely on to streamline repetitive workflows and reduce operational complexity. The company has created the first factory and operating system specifically for designing, deploying, and governing Digital Workers at scale. By simplifying overloaded tool stacks and replacing manual tasks, causaLens enables teams to focus on higher-value work and strategic decision-making. The company is trusted by leading organizations such as J&J, Cisco, IPG Group, and Syneos Health. causaLens is backed by over $50M from top-tier investors, including Molten Ventures, Dorilton Capital, IQ Capital, and visionary angel investors such as the CEO of Revolut.
Salary
Our standard range is £50k–£120k + equity, depending on experience.
Benefits:
25 days of paid holiday, plus bank holidays
Carry over or sell holiday, up to 5 days
Share options
Pension scheme
Core life cover, 4x annual basic salary
Health and dental insurance options
Learning and development budget
Work abroad days
Cycle to work scheme
Friendly tech purchases
Referral bonus programme
Happy hours, team outings and office snacks
