Platform AI Engineer

YunoJuno; London; Remote; GBP 65,000 - 95,000; Full time

Job summary

YunoJuno is seeking a delivery-focused AI engineer to power their product with LLM technology. This remote-first role involves enhancing product features through AI while collaborating with a dedicated team. The ideal candidate will have a solid background in AI and full-stack development, and be capable of hands-on implementation.

Benefits

MacBook

25 Annual Leave + Bank Holidays

Birthday Off & Voucher

Company Pension Scheme

Healthcare Insurance

Free Eye Test

Cycle to Work Scheme

Qualifications

• Experience with LLMs, either commercially or personally.
• Experience on full-stack applications, especially Python/TypeScript.
• Good English communication skills.

Responsibilities

• Understanding product requirements and enhancing it with LLMs.
• Leading AI system implementations and mentoring team members.
• Maintaining production-ready AI systems and ensuring quality metrics.

Skills

AI-positive mindset

Full-stack development

Python

TypeScript

Asynchronous communication

Familiarity with LLMs

Tools

Git

GitHub

Job description

About us:YunoJuno powers The Future of Work. What started as a platform to connect the best freelancers with forward-thinking companies has now redefined how businesses source and manage their entire contingent workforce. Whether it's building a new department at a creative startup or building an enterprise solution for the world's largest communications network, we use technology to power the freelance revolution.

About the role :

We're looking for a delivery-focused AI engineer that would enjoy bringing the power of LLMs to a product that over the years has helped our freelancers & clients deliver hundreds of thousands of successful projects together.

Our product team is small (~15) but focused and you'd be working alongside teams that put collaboration, the product & transparency first. We run an environment where developers own their code all the way through to production and after the fact - always iteratively improving as we go.

We are looking for someone who considers themselves an AI-first engineer, someone that can not only help lead our product into the future by utilising LLMs in places that bring value but also someone that can get hands-on with actually implementing their vision in an existing product. Our stack is Python/Django/GraphQL on the backend, and TypeScript on the frontend.

Our team is remote-first and we work asynchronously where we can. However, we do have an office and if you're in London we like to meet once a week. We are very open to remote-only developers, provided you are in a UK-friendly timezone (+/-2hrs).

You'll spend your time:

• Deeply understanding our product, and planning & showcasing where LLMs and future AI enhancement would best be placed to deliver actual value to our users.
• Leading by doing - demonstrating best practices in prompt engineering, RAG implementation, and AI system architecture through hands-on development while mentoring the team through practical examples and code reviews.
• Building and maintaining production-ready AI systems, including implementing monitoring solutions and setting up prompt evaluation frameworks.
• Driving practical AI implementation decisions, from model selection and cost optimisation to scaling solutions across our production environments.
• Ensuring we keep our DORA metrics amongst the best in the industry so that we keep our time-to-ship low, and developer happiness high.
• Working in a CI-backed environment, in small teams, in three-week cycles. We use Linear internally and follow their opinionated development process .
• Frequently self-reflecting as a team as to how we're doing in some very honest retrospectives.

Requirements :

• You have an AI-positive mindset and want to apply and build upon your learning with an existing product.
• You either have commercial experience with using LLMs to enhance products, or you have been using them in your own time and want some real world experience.
• Have experience working on full-stack applications, in particular Python/TypeScript/React ones.
• Have experience working with remote distributed teams, and the async communication and working patterns that come with that.
• Have a good oral & written handling of English, to help with the above.
• Are happier shipping features than debating tabs vs spaces.
• Prefer to move quickly and iteratively, and believe that shipping incrementally and fast is best.
• Are comfortable with Git, GitHub and CI workflows.

We'd especially love to hear from you if you:

• Have experience with successfully deployed LLM projects, although we understand this is a new field
• Have experience working with Django or other web applications, in particular Python ones.
• Have ever been a contractor/freelancer, and thus have a true understanding of the problems we are trying to solve for our users. We are very open to contractors looking to move full time.

But these are not concrete requirements - if you think you'd be a good match for us, we'd love to know why.

Why YunoJuno

Aside from our people, culture, and mission, there are a variety of additional benefits that help make YJ a great place to work! Benefits include:

• MacBook
• 25 Annual Allowance + Bank Holidays
• Birthday Off & Birthday Voucher
• Company Pension Scheme
• Healthcare Insurance with Vitality (upon completion of probation)
• Free Eye Test
• Cycle to work
• Plus many more!

Where to from here

At YunoJuno we value diversity and believe that teams with diverse backgrounds, experiences, and identities are the strongest. We welcome applicants from all walks of life and encourage those with alternative identities, backgrounds, and experiences to apply for our vacancies.

Our commitment to fairness and accessibility is reflected in our hiring process. We are happy to accommodate any requests to meet your requirements during the hiring process. We strive to ensure all candidates have equal opportunities to succeed.

Department Engineering Locations London Remote status Fully Remote