Machine Learning / AI Engineer (RL)

Our requirements

• 5+ years of overall experience in the IT industry.
• Minimum 3 years in Machine Learning/Environment Engineering, Data Scientist
• Practical knowledge of AI frameworks (Langchain, Langraph, mcp-server ).
• Extensive practical experience in working with AI, including prompt engineering and vibe coding.
• Experience in working with business requirements (analysis, summarizing, responding to changes).
• Expertise in planning your own work or that of a small team.
• Being able to work 2 p.m. - 10 p.m

Optional

• Knowledge of Codex or Claude Code.
• Experience in integrating AI with a system would be an advantage.
• Understanding of RL concepts - reward modeling, environment dynamics, verifiability, evaluation, and agent interaction loops.
• Familiarity with instrumentation, metrics, and data pipelines for RL evaluation.

Your 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.

About the project

This is how we organize our work

This is how we work on a project

• documentation
• issue tracking tools
• testing environments

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, Child's Day)

Recruitment stages

• 1.
  HR call (max 15 min.)
• 2.
  Technical skills assessment via discussion of a case study
• 3.
  Technical interview with our client (max 30 min.)*

ACAISOFT POLAND Sp. z o.o.