# Applied AI Engineer at Nevis > Onsite · United Kingdom · Unspecified · ML / AI · open. Source: https://alderhq.app/jobs/ashby%3Anevis%3Ae8a87c99-83ef-48e7-bcee-aa85891f6fa7 (read 2026-11-08). ## Facts (observed) - Company: [Nevis](https://alderhq.app/companies/nevis) - Location text: London - Where it can be done from (inferred): Onsite · United Kingdom (evidence: "Location: London") - Posted: 2025-11-06 (368 days ago) - First seen by alder: 2026-11-07 · last verified: 2026-11-07 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://jobs.ashbyhq.com/nevis/e8a87c99-83ef-48e7-bcee-aa85891f6fa7 - Skills listed (inferred): LLMs ## Pay and sponsorship - Posted pay: not posted - Market band for similar posted roles (London, n 20): p25 £102k, median £213k, p75 £348k ## Description (the employer's text) ### About Nevis Nevis is building the world’s first AI wealth management platform. We are building the system financial advisors will run on for the next decade. Our AI completes work, automates workflows end to end, and frees advisors to spend more time with clients. In the future, every wealth management firm will run on Nevis. Nevis was founded by an exceptional team of ex-Revolut executives and has raised $110 million in just two years, including a $70 million Series B led by EQT Ventures & Growth, backed by world-leading investors including Sequoia Capital, ICONIQ, and Ribbit. ### The Role We are looking for a talented and driven AI Engineer to join our core team at Nevis where you will play a pivotal role in shaping the next-generation AI-first wealthtech product. You will address critical challenges faced by our business clients by building LLM-driven agentic automation pipelines. You’ll work with cutting-edge LLM models and collaborate with leading vendors to enhance our product’s reasoning capabilities and elevate the quality of our models’ outputs to industry-leading standards - constantly raising the bar higher. As part of a small, world-class team of engineers and product builders, including the former Head of AI at Revolut, you’ll have a unique opportunity to make a profound impact on one of the world’s largest industries. ### What You’ll Do Design and build LLM and ML-powered products and features across Nevis’ platform. Collaborate with engineers and product builders to bring new AI capabilities from experiment to production. Establish best practices and design novel approaches for AI development, testing, observability, and reliability. Continuously monitor and improve AI products performance and reasoning quality. Partner with product and design teams to prototype and iterate on new AI features and products. Stay ahead of the latest advances in Gen AI space, including agentic systems, reasoning capabilities and context engineering. ### Who You Are Hands on experience with LLMs Proven track record of solving real-world problems with AI / ML Advanced statistical and data analysis skills STEM degree from top university Passionate about transformative AI technologies Product-driven mindset: prioritizing practical ML solutions for better client outcomes Proactive problem solver with "get it done" attitude Excellent communication skills for effective team collaboration Thrive in a fast-paced, high-growth environment and take ownership end-to-end ### Nice to Have Prior experience in AI startups Strong publications or GitHub profile ### Why Join Nevis? Work alongside a high-calibre founding team backed by some of the best investors in the world. A fast-paced, high-growth environment with the opportunity to shape how the business operates. Be part of a mission-driven company transforming the wealth management industry with huge potential for global impact. 25 days’ annual leave. Private medical insurance. Competitive salary and benefits package, including company equity. --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Anevis%3Ae8a87c99-83ef-48e7-bcee-aa85891f6fa7 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.