Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Target Resume Now
About the Role
The AI for Code team at JetBrains is developing next-generation coding agents and agentic workflows. This role involves transforming internal and open-weight models into production-ready coding agents, focusing on model training, fine-tuning, context engineering, tool use, evaluation, feedback loops, and product integration. You will build systems used by tens of thousands of developers, impacting the future of AI in software development.
Responsibilities
- Build production-ready coding agents and agentic workflows for real developer tasks within JetBrains products.
- Transform model capabilities into dependable product behavior using prompt design, context construction, fine-tuning, and other post-training techniques.
- Design and enhance the agent loop, including tool use, execution strategy, safeguards, and task completion quality.
- Create evaluation suites and quality infrastructure for agent behavior, encompassing online/offline evaluations, regression checks, failure analysis, and release criteria.
- Develop feedback loops from real-world usage to improve data, evaluations, and agent behavior.
- Work with both hosted frontier APIs and self-hosted or open-weight models, making pragmatic decisions based on capability, latency, reliability, privacy, and cost.
- Collaborate with product managers, software engineers, ML engineers, and researchers for end-to-end feature shipping.
- Define the technical direction for future work, especially in ambiguous areas requiring strong judgment.
Requirements
- Strong software engineering fundamentals and a proven track record of shipping complex systems to production.
- Hands-on experience building LLM-powered products, coding agents, or other AI systems.
- Experience improving model behavior through systematic iteration (prompting, context engineering, fine-tuning, preference optimization, etc.).
- Practical experience with evaluation and benchmarking for LLM systems, including defining task-grounded success metrics and catching regressions.
- Experience working with noisy real-world signals, not just clean benchmark datasets.
- Good judgment regarding trade-offs between model quality, latency, reliability, privacy, and cost.
- Confidence in working with ambiguity and taking ownership of direction over multiple iterations.
- Strong communication skills to align engineering and product decisions.
Skills
- LLM-powered products
- Coding agents
- AI systems
- Prompting
- Context engineering
- Fine-tuning
- Preference optimization
- Post-training methods
- LLM system evaluation
- Benchmarking
- Success metrics definition
- Regression detection
- Real-world signal analysis
- Model quality assessment
- Latency optimization
- Reliability engineering
- Privacy considerations
- Cost management
- Ambiguity management
- Ownership
- Communication
Location
- Remote
- Office
Work Type
- Remote
- Hybrid
- Full-time
Experience Level
- Staff
- Senior
Salary/Compensations
- Strong base salary. Competitive pay that reflects your skills and experience.
Benefits
- Flexible work location
- Remote work (up to 30 days per year from abroad)
- Extra time off
- Medical insurance allowance
- Learning and development opportunities (conferences, courses, language classes)
- Relocation support
- Language classes
- Hot meal or lunch allowance on workdays
- Mental health support
- Sports benefit (on-site gym or sports club stipend)
- Internal events
About the Company
- At JetBrains, we build developer tools used by millions of engineers.
- We are building the next generation of coding agents and agentic workflows.
- We aim to create systems that understand codebases, plan and execute multi-step tasks, collaborate with developers, and ship reliable results inside real development environments.
Equal Opportunity
- 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.