Today, AI-powered coding agents are becoming a core part of how developers write Kotlin – and we want to make sure they write it well. The Kotlin AI Value Stream team is responsible for how AI agents understand, generate, and improve Kotlin code across all platforms: Android, Kotlin Multiplatform, server‐side, web, desktop, and others. We build the evaluation infrastructure, error analysis tools, and post‐training pipelines that measure and improve agent behavior on real Kotlin developer tasks.
As a Research Engineer on this team, you'll own the end‐to‐end loop: Analyze how agents fail on Kotlin → build evals that capture those failures → research and implement methods to fix them → measure the improvement. Your work will directly shape how millions of developers experience Kotlin through AI coding agents.
Build tools for agentic error analysis
Design and implement tooling to systematically capture, classify, and analyse errors that AI coding agents make when generating Kotlin code.




Build observability pipelines over agentic traces – mining patterns from agent sessions in JetBrains IDEs, Junie, Claude Code, Cursor, and other coding agents.
Design, implement, and maintain evaluation pipelines that measure Kotlin code generation quality across dimensions, including correctness, idiomaticity, build success, framework usage, and test coverage.
Build simulation environments where coding agents can be measured on realistic Kotlin developer tasks – from greenfield KMP projects and Gradle dependency management to migrating Spring applications from Java to Kotlin.
Research methods for improving agent and model behavior on Kotlin
Experiment with post‐training techniques (SFT, DPO, GRPO) to improve how models handle Kotlin‐specific patterns, idioms, and frameworks.
md files, compiler‐as‐verifier feedback loops, Kotlin LSP integration, and MCP‐based tooling.
A/B comparisons, benchmark suites, and before/after analyses on real codebases.
Collaborate with model providers (Anthrop

📌 Senior Research Engineer (Madrid)
🏢 JetBrains
📍 Madrid