AI Engineer
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Before you apply
SalaryPLN 30k+/mo
LocationWarsaw, Masovian Voivodeship, Poland
Work modehybrid
Typefull-time
SeniorityMid
DepartmentRobotics and Simulation
Company size11–50 people
PostedSep 30, 2026 · 1mo ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
University degree in Computer Science, Machine Learning, Robotics, or a related field
Strong understanding of Deep Learning concepts, especially Computer Vision, Reinforcement Learning and Large Language Models (LLMs)
Solid software engineering skills in Python
Practical experience in AI model training, evaluation, and deployment
Practical experience with AI/ML frameworks and libraries such as PyTorch, Jax, NumPy, Pandas, and Matplotlib
Experience with 2D or 3D computer vision methods
Experience with version control and collaboration tools (Git, GitHub, CI/CD)
Excellent communication and teamwork skills
Fluent English (C1 level or higher), both written and spoken
Experience in using robotic simulators such as MuJoCo, Isaac Sim, or Genesis
Experience with training and deployment of robotic control policies (e.g. Locomotion / VLAs)
Experience with agentic AI systems
Experience with model optimization and deployment on embedded platforms
Familiarity with robotics frameworks such as ROS2
Programming experience in strongly typed languages (e.g., C++)
Skills
Python
PyTorch
Jax
NumPy
Pandas
Matplotlib
Git
GitHub
CI/CD
MuJoCo
Isaac Sim
Genesis
ROS2
C++
Benefits
Private medical care
Sports card
Flexible hours
Hybrid work
About the company
Robotec.ai is a software company that develops hi-tech solutions for robotics and automotive industries. We help our customers build state-of-the-art robotic simulations and testing tools to ensure their machines work safely and efficiently. Our engineers also develop various R&D projects and products. We believe that human centered robotics and open source are the future of sustainable growth.
We are believers in open source. You can check out some of our projects on GitHub .
About the role
We are looking for a Mid or Senior AI Engineer who will help us integrate AI methods into various robotics pipelines.
What you will do:
•
Explore and apply modern machine learning techniques (RL, agentic AI, computer vision, synthetic data generation) to robotics and simulation problems
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Develop and integrate AI models into existing robotics pipelines
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Develop vision and control AI pipelines for robotics using different sensory data like RGB/RGBD cameras or lidar.
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Work with generative models, simulated and real-world data
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Collaborate with cross-functional teams across robotics, simulation, 3D modeling, and software engineering
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Contribute to prototyping and development of new AI-driven features
Requirements
•
University degree in Computer Science, Machine Learning, Robotics, or a related field
•
Strong understanding of Deep Learning concepts, especially Computer Vision, Reinforcement Learning and Large Language Models (LLMs)
•
Solid software engineering skills in Python
•
Practical experience in AI model training, evaluation, and deployment.
•
Practical experience with AI/ML frameworks and libraries such as PyTorch, Jax, NumPy, Pandas, and Matplotlib
•
Experience with 2D or 3D computer vision methods
•
Experience with version control and collaboration tools (Git, GitHub, CI/CD)
•
Excellent communication and teamwork skills
•
Fluent English (C1 level or higher), both written and spoken
Nice to haves:
•
Experience in using robotic simulators such as MuJoCo, Isaac Sim, or Genesis
•
Experience with training and deployment of robotic control policies (e.g. Locomotion / VLAs)
•
Experience with agentic AI systems
•
Experience with model optimization and deployment on embedded platforms
•
Familiarity with robotics frameworks such as ROS2
•
Programming experience in strongly typed languages (e.g., C++)
Benefits
What’s in it for you:
•
Work with the best experts in robotics, simulation using the latest technologies.
•
Opportunity to contribute to open source.
•
Competitive salary (up to 30 000 + VAT).
•
Cosy office space near Rondo Daszynskiego, Warsaw.
•
Private medical care and sports card.
•
Flexible working hours in hybrid mode.
•
Friendly and team-oriented culture.