Senior ML Engineer (Generative AI & RAG)

Cyclad; Warszawa; Remote; PLN 240,000 - 320,000; Full time

Job summary

A leading technology firm in Warsaw is seeking a Senior AI Engineer to design and implement advanced AI systems. You will work on integrating large language models and optimize deployments while ensuring scalability and reliability. Ideal candidates will possess strong foundations in AI/ML, proficient with Python, and experience with containerization tools like Docker and Kubernetes. The role offers medical care and a multisport card.

Benefits

Private medical care

Multisport card

Qualifications

• Strong AI/ML foundations in supervised/unsupervised learning and deep learning.
• Proficient in Python and ML/AI libraries.
• Solid service/API engineering skills.

Responsibilities

• Design and implement advanced AI systems based on large language models.
• Optimize model deployments and integration with existing platforms.
• Support monitoring and observability of deployed ML/AI systems.

Skills

AI/ML foundations

Python

Docker

Kubernetes

Real-time integration

NLP

Tools

PyTorch

TensorFlow

scikit-learn

Job description

Project information:

Location: Warsaw - Remote
Working hours: Full-time
Languages: English
Level: Senior

Responsibilities:

• 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)
• 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

We offer:

• Private medical care with dental care (covering 70% of costs) + rehabilitation package. Family package option possible
• Multisport card (also for an accompanying person)

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