At a Glance
- Tasks: Ship innovative AI product features and improve agent workflows.
- Company: Exciting AI startup backed by JetBrains, focused on empowering creators.
- Benefits: Competitive salary, inclusive culture, and opportunities for rapid growth.
- Other info: Dynamic environment that values creativity and ownership of outcomes.
- Why this job: Join a fast-paced team and turn groundbreaking ideas into real products.
- Qualifications: Experience in engineering or ML, with a passion for shipping real systems.
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.
Research Engineer (Kineto) employer: JetBrains
At Kineto, we pride ourselves on being an innovative AI startup that fosters a dynamic and inclusive work culture. Our team thrives on collaboration and rapid iteration, providing employees with the opportunity to take ownership of their projects and see their ideas come to life. With a strong focus on professional growth and the latest advancements in AI technology, working at Kineto not only offers meaningful challenges but also the chance to contribute to groundbreaking tools that empower creators worldwide.
StudySmarter Expert Advice🤫
We think this is how you could land Research Engineer (Kineto)
✨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 any cool systems or worked with LLMs, make sure to have them ready to share. A portfolio speaks volumes and shows you’re not just about theory.
✨Tip Number 3
Prepare for a fast-paced interview! Kineto loves quick iterations, so be ready to discuss how you've shipped products and improved them based on feedback. Think of examples where you’ve owned outcomes.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of our team at Kineto.
We think you need these skills to ace Research Engineer (Kineto)
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 excited you are about building innovative tools and products that can make a difference!
Highlight Your Experience:Make sure to showcase any real systems you've shipped, especially those involving LLMs or agent workflows. We love seeing concrete examples of your work, so don’t hold back on the details!
Emphasise Your Iterative Mindset:Since we move fast and iterate, it’s important to convey your comfort with this approach. Share experiences where you’ve quickly adapted based on feedback or results – it shows you’re a great fit for our culture!
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 you’re considered for the role. Plus, it’s super easy!
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 any projects you've shipped, especially those involving LLMs or agent workflows. Highlight specific challenges you faced and how you overcame them.
✨Show Your Iterative Mindset
Kineto values fast iteration and learning from results. Prepare examples of how you've improved a product based on feedback or metrics. This will show that you understand their culture of delivery and measurement.
✨Be Ready to Talk Tools
Familiarise yourself with the latest tools and methods in the AI space. Be prepared to discuss how you've used these in past projects, particularly in building self-improving systems or agent workflows.
✨Emphasise Ownership
Demonstrate your ability to own outcomes end to end. Share experiences where you took responsibility for a project’s success or failure, and how you learned from those experiences. This aligns perfectly with Kineto's approach to work.
