---
title: 'Research Engineer (Agentic Models) at JetBrains'
canonical: 'https://feeny.ai/job/research-engineer-agentic-models-jetbrains-amsterdam-fwcw8fcydjby'
type: 'job'
last_seen: '2026-09-07'
---

# Research Engineer (Agentic Models) at JetBrains

- **Company:** JetBrains
- **Location:** Amsterdam, Netherlands / Belgrade, Serbia / Berlin, Germany / Limassol, Cyprus / London, United Kingdom / Madrid, Spain / Munich, Germany / Paphos, Cyprus / Prague, Czech Republic / Germany / Warsaw, Poland / Yerevan, Armenia
- **Work type:** remote
- **Posted:** 2026-01-16
- **Last confirmed live:** 2026-09-07
- **Apply:** https://job-boards.eu.greenhouse.io/jetbrains/jobs/4754978101

## Job description

At JetBrains, code is our passion. Ever since we started, back in 2000, we’ve been striving to make the strongest, most effective developer tools on earth. Today, AI-powered assistance and agents are becoming a core part of how developers work in our IDEs.

We’re building multi-step coding agents that can understand large codebases, plan changes, call tools, and iterate with the user. As a Research Engineer in the Agentic Models team, you’ll be responsible for the models, training loops, and evaluation pipelines that power these agents.

You’ll work at the intersection of SFT and RL-style post-training, and product-driven evaluation, using our distributed GPU and MapReduce clusters to ship models into JetBrains products.

As part of our team, you will:

- Design, implement, and maintain SFT and RL post-training pipelines for multi-step coding agents.
- Train and adapt LLMs for agent workflows, including planning, tool use, and multi-step interactions inside JetBrains IDEs.
- Build and develop evaluation and simulation environments where coding agents can act, be measured, and compared on realistic developer tasks.
- Design evaluation frameworks and metrics for agent behavior, analyze traces and logs, and close the loop from evaluation back into training, data, and reward design.
- Analyze training and evaluation results to propose and implement improvements to model architectures, training recipes, and datasets.
- Work with large-scale infrastructure, including distributed training on GPU clusters and large MapReduce-style data processing for pre-training and fine-tuning datasets.
- Collaborate closely with research, product, and infrastructure teams to turn high-level product visions into concrete models, experiments, and shipped features.

We’ll be happy to bring you on board if you have:

- Extensive hands-on experience training LLMs (pre-training, fine-tuning, or post-training) in a research or production setting.
- Deep expertise in modern deep learning frameworks such as PyTorch, and specialized LLM training stacks (e.g. Megatron, NeMo, verl, or similar).
- Strong theoretical and practical understanding of LLM fundamentals: architectures, tokenization, data pipelines, batching, mixed precision, distributed training, and debugging unstable runs.
- The ability to own projects end to end, starting from a high-level problem or product pain point and overseeing it through the design, experimentation, implementation, and iteration phases.
- A product-aware mindset – you care about how developers actually use agents and can translate product needs and failure modes into modeling and evaluation work.
- At least 3 years of Python experience writing clean, maintainable code in modern ML codebases.

Our ideal candidate would have experience with:

- ML orchestrators and workflow tools such as Kubeflow, Dagster, Airflow, ZenML, and/or job schedulers like Kubernetes or SLURM.
- Large-scale data and training pipelines, e.g. MapReduce-style clusters, multi-node GPU training, or workloads on the order of 1M+ CPU/GPU hours.
- Designing and maintaining evaluation pipelines for LLMs or agents, including metrics, dashboards, experiment tracking, and automated regression checks.
- AI agent development, such as tool-using agents, planners, or multi-step coding workflows, and familiarity with agentic frameworks or patterns.
- Experiment tracking and observability using tools like Weights & Biases, MLflow, Langfuse, or similar.
- Inference optimization and serving optimized models in production.

## #LI-KP1

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.](https://www.jetbrains.com/legal/docs/privacy/privacy-recruitment/)

## About JetBrains

## Core Business
- **Primary industry**: Developer tools, software engineering, IDE & collaboration platforms
- **Target customers**: B2B and B2C – individual developers, teams, and enterprises (15M+ developers worldwide)
- **Mission or purpose**: “We’re the people of craft” – building tools that let developers focus on what matters, with a relentless pursuit of quality and precision.

## Products & Services
- **[IntelliJ IDEA](https://www.jetbrains.com/idea/)**: Leading Java/Kotlin IDE (free community edition and paid Ultimate)
- **[PyCharm](https://www.jetbrains.com/pycharm/)**: Python IDE (free community and paid Professional)
- **[WebStorm](https://www.jetbrains.com/webstorm/)**: JavaScript/TypeScript IDE
- **[CLion](https://www.jetbrains.com/clion/)**: C/C++ IDE
- **[Rider](https://www.jetbrains.com/rider/)**: .NET and game development IDE
- **[DataGrip](https://www.jetbrains.com/datagrip/)**: Multi-database SQL editor and IDE
- **[TeamCity](https://www.jetbrains.com/teamcity/)**: CI/CD build server
- **[YouTrack](https://www.jetbrains.com/youtrack/)**: Project management and issue tracking
- **[JetBrains Academy](https://www.jetbrains.com/academy/)**: Interactive learning platform for coding
- **[Junie](https://www.jetbrains.com/junie/)**: AI-powered coding assistant (new product)

All products are available as SaaS, self-hosted, or desktop tools, with free tiers for non-commercial use.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private, no external funding)
- **Key Metric**: 15M+ developers use JetBrains tools; 4M+ total customers (complimentary + paid); 2,600+ employees across 15 offices
- **Notable Investors/Partners**: None (fully self-funded); partners include major cloud providers and platforms
- **Growth Signals**: Won 115+ international industry awards; launched new AI product (Junie); headcount has grown to 2,600+; employee turnover is less than half the industry norm

## Competitive Advantages
- **Developer-first DNA**: Founded by developers, all products are built and tested by actual developers using their own tools
- **Quality obsession**: “We don’t cut corners” – meticulous attention to detail in code, UX, and documentation
- **Private & independent**: No external pressure from investors or quarterly targets; decisions are made by people who understand the work
- **Strong brand loyalty**: Trusted by 15M+ developers, with a reputation for reliability and productivity gains

## Strategic Focus
- **AI integration**: Deeply embedding AI into IDEs (e.g., Junie) while maintaining control and quality
- **Expanding product ecosystem**: Adding new tools (e.g., AI assistant, learning platform) and improving existing ones
- **Global talent acquisition**: Opening new offices (e.g., Shanghai, Foster City, Limassol) and hiring across 15 locations
- **Maintaining independence**: Staying private to avoid short-term market pressures and focus on long-term product excellence

## Why Work Here
- **Hybrid work model**: Flexible – work from office, home, or abroad for up to 30 days per year
- **Culture of ownership**: “Freedom to forge” – employees are trusted to run with ideas, make decisions, and take responsibility for results
- **Merit-based environment**: “Merit over everything” – promotions and recognition based on skill and impact, not politics
- **Low turnover**: Less than half the industry average, indicating high employee satisfaction
- **Perks**: Strong base salary, additional vacation days, learning & development budget (conferences, courses, language classes), relocation support, free meals and snacks, on-site gyms or sports club stipends, modern offices, internal events and hackathons
- **Global diversity**: 2,800+ nationalities represented (likely a typo – 2,800+ nationalities is unrealistic, but the company emphasizes diversity; actual number of nationalities is likely in the dozens)
- **Hiring process**: Transparent and thorough – includes recruiter interview, team interview, test assignment (for all roles), and final interview; no unnecessary pressure

## Sources
1. [JetBrains Careers Page](https://www.jetbrains.com/careers/)
2. [JetBrains Company Page](https://www.jetbrains.com/company/)
3. [JetBrains Homepage](https://www.jetbrains.com/)
4. [JetBrains Job Board (Greenhouse)](http://job-boards.eu.greenhouse.io/jetbrains)

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