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Research Engineer (Kineto)

at JetBrains

Back to all Data Science / AI / ML jobs
JetBrains logo
Industry not specified

Research Engineer (Kineto)

at JetBrains

Mid LevelNo visa sponsorshipData Science/AI/ML

Posted 10 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

Join Kineto to ship AI product features that blend engineering and ML. Build and improve agent workflows (tooling, retries, guardrails, fallbacks) and optimize latency, cost, and reliability. Track AI advances and convert them into shipped products, and build self-improving loops that learn from feedback and evaluations.

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.

#LI-MP1

We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Research Engineer (Kineto)

at JetBrains

Back to all Data Science / AI / ML jobs
JetBrains logo
Industry not specified

Research Engineer (Kineto)

at JetBrains

Mid LevelNo visa sponsorshipData Science/AI/ML

Posted 10 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

Join Kineto to ship AI product features that blend engineering and ML. Build and improve agent workflows (tooling, retries, guardrails, fallbacks) and optimize latency, cost, and reliability. Track AI advances and convert them into shipped products, and build self-improving loops that learn from feedback and evaluations.

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.

#LI-MP1

We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

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