You will be cooperating with a leading provider of AI evaluation and optimization solutions, trusted by multinational companies to optimize AI agents and detect performance issues in large language models.
In this role, you’ll help develop advanced reinforcement learning (RL) environments and scalable evaluation systems that guide and shape the behavior of cutting-edge AI models. The company’s mission is to enable safe, verifiable, and aligned AGI through rigorous, real-world agent evaluation.
Due to the client’s time zone, we would appreciate a candidate who can work 2 p.m. - 10 p.m.
Join us and make a real impact!
If you’re ready to broaden your horizons and work with an innovative company at the forefront of AI, we’d love to hear from you. You’ll help build the environments that shape how future AI systems are trained, evaluated, and aligned - and collaborate with world-class engineers and researchers on one of the most important technical challenges of our time.
responsibilities :
Design and implement RL environments that support large-scale agent evaluation and reinforcement learning experiments.
Build task generation pipelines, dynamic datasets, and scripted environments with controlled complexity and stochasticity.
Develop verifiers and reward models to automatically score trajectories and evaluate model reasoning.
Collaborate with infrastructure and systems engineers to ensure environments are scalable, reproducible, and instrumented for detailed telemetry.
Design APIs and orchestration frameworks for running, resetting, and evaluating agents across environments.
Optimize environment performance, logging, and reward reproducibility across distributed setups.
requirements-expected :
5+ years of experience in Python software engineering.
Minimum 3 years in a Data Scientist, Machine Learning/Environment Engineering position.
Being able to work 2 p.m. - 10 p.m.
Practical knowledge of AI frameworks (Langchain, Langraph, mcp-server ).
Extensive practical experience in working with AI, including prompt engineering and vibe coding.
benefits :
sharing the costs of sports activities
private medical care
remote work opportunities
flexible working time
integration events
extra social benefits
baby layette
school layette
employee referral program
charity initiatives
Gift vouchers for kids (birthdays, Christmas, Childs Day)
