Design and implement advanced AI systems based on large language models (LLMs), RAG, and agentic AI frameworks
Bridge research and development efforts with robust service and API engineering
Implement streaming systems and integrate models in production environments
Deploy new model versions, integrate with other system components, and assess the impact on end-to-end performance
Optimize model deployments (containerization, orchestration with Docker / Kubernetes, inference optimization)
Ensure scalability, reliability, and smooth integration with existing platforms
Support monitoring and observability of deployed ML / AI systems (logging, tracing, metrics).
requirements-expected :
Practical experience with LLMs and RAG
Familiarity with agentic AI frameworks
Strong AI / ML foundations (supervised / unsupervised learning, deep learning, NLP)
Proficient in Python and ML / AI libraries (PyTorch, TensorFlow, scikit-learn)
Solid service / API engineering skills, including real-time / streaming and hardware / software compatibility
Experience in integration, release management, and end-to-end performance assessment
Hands-on model deployment (containerization, Docker / Kubernetes, inference optimization)
offered :
Private medical care with dental care (covering 70% of costs) + rehabilitation package. Family package option possible.
Multisport card (also for an accompanying person).
Life insurance.
International work environment
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Senior Ai Ml Engineer • Warszawa, Masovian, Poland
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