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…
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Principal Forward Deployed Engineer – AI-Native Software Development
Prague, Prague, Czechia · On-site
Senior+
At JetBrains, code is our passion. Ever since we started, back in 2000, we have strived to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up pro…
At JetBrains, we are passionate about boosting developer productivity. Since our inception, we've been creating tools that eliminate repetitive tasks, simplify workflows, and empower developers to focus on what they do b…
Skills: Technical Program Management, Cross-team Coordination, Risk Mitigation, Stakeholder Management, Program Planning
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Skills: Product-Led Growth, User Acquisition, User Onboarding, User Activation, Product Analytics
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Full-time
Posted 5d ago
~40 hrs/week
Responsibilities
Design and implement SFT and RL post-training pipelines to power multi-step coding agents within JetBrains IDEs. Develop evaluation environments and metrics to analyze agent behavior and iterate on model architectures and datasets.
Requirements
Requires extensive hands-on experience training LLMs using PyTorch and specialized stacks, with at least 3 years of professional Python experience. Candidates must possess a strong theoretical understanding of LLM fundamentals and the ability to manage projects from design to implementation.
Full 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.
On a mission to make software development a more productive and enjoyable experience. Make it happen. With Code.
Offices: Huidekoperstraat 26-28, Amsterdam, 1017 ZM, NL · Na Hřebenech II 1718/8, Prague, Hlavní město Praha 14000, CZ · Christoph-Rapparini-Bogen 23, Munich, Bavaria 80639, DE · 2 Seaport Ln, Suite 8C, 8th floor Seaport EAST, Boston, Massachusetts 02210, US · 10 Lake Center, #203, Marlton, New Jersey 08053, US
Software DevelopmentProductivity SoftwareDeveloper ToolsAIProductivyIntegrated Development EnvironmentContinuous IntegrationIssue TrackerProject ManagementComputer Science
On a mission to make software development a more productive and enjoyable experience. Make it happen. With Code.
Offices: Huidekoperstraat 26-28, Amsterdam, 1017 ZM, NL · Na Hřebenech II 1718/8, Prague, Hlavní město Praha 14000, CZ · Christoph-Rapparini-Bogen 23, Munich, Bavaria 80639, DE · 2 Seaport Ln, Suite 8C, 8th floor Seaport EAST, Boston, Massachusetts 02210, US · 10 Lake Center, #203, Marlton, New Jersey 08053, US
Software DevelopmentProductivity SoftwareDeveloper ToolsAIProductivyIntegrated Development EnvironmentContinuous IntegrationIssue TrackerProject ManagementComputer Science