At a Glance
- Tasks: Ship AI product features and improve agent workflows with cutting-edge technology.
- Company: Join Kineto, an innovative AI startup backed by JetBrains.
- Benefits: Flexible work environment, competitive salary, and opportunities for professional growth.
- Other info: Be part of a diverse team that values inclusivity and creativity.
- Why this job: Make a real impact by turning ideas into shipped products in the AI space.
- Qualifications: Experience in engineering or ML, with a focus on real systems and LLMs.
The predicted salary is between 50000 - 70000 € per year.
Kineto (kineto.app) is an AI startup backed by JetBrains. We’re building the next creator stack – tools that help creators talk to their audience in new ways, turn ideas into content, and build sustainable businesses – powered by LLMs and agents.
We’re now looking for a Research Engineer with a strong grounding in engineering or ML who wants to turn ideas into shipped products.
How We Work
We move fast and iterate. We ship early, measure results, and improve quickly. If something works, we double down. If it doesn’t, we cut it. Delivery and measurement are part of the culture, and everyone owns outcomes end to end.
In This Role, You Will
- Ship AI product features that combine engineering and ML.
- Build and improve agent workflows (tooling, retries, guardrails, fallbacks).
- Improve the latency, cost, and reliability of our systems.
- Track what’s new in the AI space (agent teams, methods, tooling) and turn it into shipped products.
- Build self‑improving loops: systems that run experiments, learn from feedback and evals, and improve the product over time.
We’d be happy to have you on our team if you:
- Have shipped real systems, not just demos or prototypes.
- Have built software with LLMs (structured outputs/function calling, tool use, reliability work).
- Have built agents (multi-step workflows that call tools, keep states, and handle failures).
- Have set up evals to track quality (tests, regression checks, eval harnesses).
- Feel comfortable moving fast, iterating, and owning outcomes end to end.
We are an equal opportunity employer. We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
Research Engineer (Kineto) in London employer: JetBrains
At Kineto, we pride ourselves on being an innovative AI startup that fosters a dynamic and inclusive work culture. Our fast-paced environment encourages creativity and ownership, allowing Research Engineers to directly impact product development while benefiting from continuous learning and growth opportunities. Located in a vibrant tech hub, we offer the unique advantage of collaborating with industry leaders and accessing cutting-edge resources to turn groundbreaking ideas into reality.
StudySmarter Expert Advice🤫
We think this is how you could land Research Engineer (Kineto) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space, especially those who work at Kineto or similar startups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your projects! If you've built systems or worked with LLMs, create a portfolio or GitHub repo showcasing your work. This is your chance to demonstrate your skills beyond the application.
✨Tip Number 3
Prepare for a fast-paced interview! Kineto values quick iterations, so be ready to discuss how you've shipped products and improved them based on feedback. Think of examples where you owned outcomes end to end.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in being part of our team.
We think you need these skills to ace Research Engineer (Kineto) in London
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI and machine learning shine through. We want to see how your experiences and projects align with our mission at Kineto. Share specific examples of how you've turned ideas into real products!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and fluff. Highlight your key achievements and skills that relate directly to the role of Research Engineer.
Tailor Your Application:Make sure to customise your application for us! Reference the job description and explain how your background in engineering or ML makes you a perfect fit for the role. Show us that you understand what we do and how you can contribute.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures it gets into the right hands. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at JetBrains
✨Know Your Stuff
Make sure you brush up on your engineering and ML knowledge. Be ready to discuss specific projects where you've shipped real systems, not just demos. Highlight your experience with LLMs and how you've tackled challenges in building agents.
✨Show Your Iterative Mindset
Kineto values fast iteration and ownership of outcomes. Prepare examples that showcase how you've moved quickly, measured results, and improved products based on feedback. This will demonstrate that you fit well with their culture.
✨Talk About Your Tools
Be prepared to discuss the tools and methods you've used in your previous roles. Whether it's setting up evals or improving system reliability, showing familiarity with the latest AI trends and tooling will impress them.
✨Ask Smart Questions
At the end of the interview, don’t shy away from asking insightful questions about their current projects or future goals. This shows your genuine interest in the role and helps you gauge if Kineto is the right fit for you.
