Platform AI Engineer

Platform AI Engineer

London Full-Time 36000 - 60000 £ / year (est.) No home office possible
Y

At a Glance

  • Tasks: Join us as a Platform AI Engineer, enhancing our product with LLMs and driving AI implementation.
  • Company: YunoJuno connects freelancers with innovative companies, redefining the future of work.
  • Benefits: Enjoy perks like a MacBook, birthday off, healthcare insurance, and a company pension scheme.
  • Why this job: Be part of a collaborative team that values transparency and innovation in AI technology.
  • Qualifications: Experience with LLMs, full-stack applications, and remote teamwork is preferred.
  • Other info: We welcome diverse applicants and offer a fully remote working environment.

The predicted salary is between 36000 - 60000 £ per year.

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.

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.
  • 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

Platform AI Engineer employer: YunoJuno

At YunoJuno, we pride ourselves on being an exceptional employer, offering a vibrant work culture that champions collaboration and transparency. Our remote-first approach allows for flexibility while still fostering team connections through weekly meet-ups in London, ensuring a supportive environment for personal and professional growth. With a strong focus on innovation and employee well-being, including benefits like a MacBook, healthcare insurance, and a birthday off, we empower our team to thrive as they drive the freelance revolution forward.
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Contact Detail:

YunoJuno Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Platform AI Engineer

✨Tip Number 1

Familiarise yourself with the latest advancements in LLMs and AI technologies. Being able to discuss recent developments or share insights during your interview can demonstrate your passion and knowledge, making you a standout candidate.

✨Tip Number 2

Engage with the YunoJuno community on platforms like LinkedIn or GitHub. By connecting with current employees or following their projects, you can gain valuable insights into the company culture and potentially get noticed before applying.

✨Tip Number 3

Prepare to showcase your hands-on experience with Python, Django, and TypeScript. Be ready to discuss specific projects where you've implemented these technologies, as practical examples will highlight your suitability for the role.

✨Tip Number 4

Demonstrate your understanding of remote work dynamics. Share examples of how you've successfully collaborated with distributed teams, as this aligns with YunoJuno's remote-first approach and will show that you're a good fit for their working style.

We think you need these skills to ace Platform AI Engineer

Proficiency in Python and Django
Experience with TypeScript and React
Understanding of Large Language Models (LLMs)
Prompt engineering skills
AI system architecture knowledge
Experience with CI/CD workflows
Familiarity with Git and GitHub
Ability to work asynchronously in remote teams
Strong communication skills in English
Experience with production-ready AI systems
Knowledge of monitoring solutions for AI systems
Experience with model selection and cost optimisation
Ability to drive practical AI implementation decisions
Experience in iterative development processes
Understanding of DORA metrics

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience with AI, LLMs, and full-stack applications. Emphasise any hands-on projects or roles that demonstrate your ability to implement AI solutions effectively.

Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how you envision using LLMs to enhance YunoJuno's product. Mention specific examples of your past work that align with their mission and values.

Showcase Your Technical Skills: Include a section in your application that details your proficiency with Python, Django, TypeScript, and any other relevant technologies. If you've worked on LLM projects, be sure to highlight these experiences.

Demonstrate Cultural Fit: YunoJuno values collaboration and transparency. In your application, mention your experience working in remote teams and how you contribute to a positive team culture, especially in asynchronous environments.

How to prepare for a job interview at YunoJuno

✨Showcase Your AI Knowledge

Make sure to highlight your understanding of LLMs and how they can enhance products. Be prepared to discuss any relevant projects you've worked on, whether in a professional setting or as personal projects.

✨Demonstrate Collaboration Skills

Since the team values collaboration, be ready to share examples of how you've successfully worked in remote teams. Discuss your experience with asynchronous communication and how you ensure effective teamwork despite distance.

✨Emphasise Hands-On Experience

Talk about your practical experience with Python, Django, and TypeScript. If you've implemented AI systems or worked on full-stack applications, make sure to provide specific examples that demonstrate your technical skills.

✨Be Ready for Technical Questions

Prepare for questions related to AI system architecture, prompt engineering, and CI workflows. Brush up on best practices and be ready to discuss how you would approach real-world problems using your technical expertise.

Platform AI Engineer
YunoJuno
Y
  • Platform AI Engineer

    London
    Full-Time
    36000 - 60000 £ / year (est.)

    Application deadline: 2027-04-20

  • Y

    YunoJuno

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