> Markdown version of [/jobs/ext/1542063-ai-engineer](https://www.wearedevelopers.com/jobs/ext/1542063-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** causaLens - **Location:** London, UK - **Salary:** £62,434.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Python (Programming Language), Software Construction, Workflow Management Systems, Large Language Models, Multi-Agent Systems, GPT - **Published:** July 31, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5820797177 ## About the Role * 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 ## Description We're hiring an AI Engineer to build and deploy 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. We're looking for engineers who want to apply advanced AI to meaningful business problems. You'll contribute to systems spanning LLMs, multi-agent coordination, retrieval and reasoning, and enterprise data integration; building software that automates workflows and takes action, rather than producing static outputs. Our stack typically includes Python, modern LLM frameworks, orchestration tools, and cloud platforms such as AWS, GCP, or Azure., * 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 ## Related Videos - [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Developer Tools for Microsoft Azure](https://www.wearedevelopers.com/videos/450-developer-tools-for-microsoft-azure) - [Green Cloud Computing](https://www.wearedevelopers.com/videos/592-green-cloud-computing) - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [AI for Enterprise Developers - Dr. Damir Dobric](https://www.wearedevelopers.com/videos/1831-ai-for-enterprise-developers-dr-damir-dobric) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix)