AI Native Product Engineer

LinuxRecruit; City Of London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A pioneering AI startup in London seeks a product engineer to shape its core offerings. You'll work closely with a world-class founding team, driving end-to-end product development and collaborating in a highly innovative environment. Ideal candidates should have a strong background in JavaScript, Python, and Kotlin, as well as experience in AI technologies. This is an exciting opportunity to contribute to mission-critical tools as part of a rapidly scaling team.

Qualifications

• Experience in product engineering for enterprise-level applications.
• Familiarity with AI technologies, especially LLMs and Agentic AI.
• Ability to work in a highly collaborative environment.

Responsibilities

• Shape the core product of a fast-growing AI company.
• Work directly with the founding team to build and ship products.
• Drive end-to-end product engineering from design to deployment.
• Translate enterprise problems into AI-powered solutions.

Skills

JavaScript (Node, React, Typescript)

Python

Kotlin

AI and LLMs knowledge

Product engineering

Job description

We're working on an opportunity with a heavily VC backed AI startup founded by an all ex Palantir team, building a brand new B2B solution for large enterprises leveraging LLMs and Agentic AI.

Their platform is already live, generating revenue, and the customer base is expanding rapidly. With 12 people onboard and plans to scale to 20–25 in the next 12 months, this is a unique chance to join at a pivotal moment just as they exit stealth mode.

You'll be:

• Shaping the core product of a fast growing AI company
• Work directly with a world class founding team that knows how to build, ship, and win in enterprise environments
• Part of an onsite, highly collaborative setup in London where innovation happens shoulder to shoulder
• Building products that enterprises will actually rely on; mission critical tools
• Driving end to end product engineering from design and architecture to deployment and iteration
• Partnering with founders, engineers, and customers to translate enterprise problems into AI powered solutions
• Pushing the boundaries of LLMs and Agentic AI to deliver production grade systems that can scale

Their stack is JavaScript (Node, React, Typescript), Python, and Kotlin but they're happy to consider engineers from a range of tech backgrounds.