Closes in -2 days

Research Engineer (Kineto)

Amsterdam, Netherlands; Belgrade, Serbia; Limassol, Cyprus; London, United Kingdom; Munich, Germany; RemoteCompetitive0 applicants

About this role

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.

Responsibilities

  • 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.

Requirements

  • 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.

EU Requirements

Job Details

Posted6 March 2026
Closes5 April 2026

Contact

Similar Jobs

Finding similar jobs...