LLM & SLM Development
Fine-tune and optimize LLMs and SLMs on domain-specific datasets to enhance relevance and performance.
Build and iterate on custom models tailored to business-specific needs and customer workflows.
Evaluate models for accuracy, latency, cost, and robustness in real-world scenarios.
RAG & System Integration
Design and implement retrieval-augmented generation (RAG) pipelines.
Work closely with backend engineers to integrate models into microservice-based systems via APIs and orchestration layers.
Production-Grade ML Operations
Deploy and monitor ML models in cloud environments such as GCP or equivalent platforms.
Build scalable, reproducible training and inference pipelines using MLOps best practices.
Track performance with monitoring, logging, and feedback loops for continuous improvement.
Collaboration and Optimization
Collaborate with AI developers, product managers, and domain experts to understand business use cases and translate them into ML solutions.
Documentation
Write and maintain clean, well-structured documentation for LLMs/SLM.

You have at least 3+ years of hands-on experience in machine learning, with a focus on NLP and language models.
You have proven experience with LLM/SLM fine-tuning, training, and optimization, including LoRA, QLoRA, or similar techniques.
You have a strong understanding of transformer architectures and experience with open-source models like Hugging Face, Mistral, LLaMA, or Gemma.
You have designed and deployed RAG systems in production environments.
You are proficient in Python, PyTorch, or TensorFlow, and feel at home with modern ML frameworks.
You have experience operating ML models in cloud environments, ideally GCP.
You can bridge the gap between research and engineering, experimenting fast but shipping stable, production-ready solutions.
You have strong Polish and English communication skills (B2/C1 or above).

Flexible Work Setup
Enjoy a remote/hybrid work model that promotes flexibility and personal well-being while encouraging collaboration and meaningful team connections.
Collaborative Culture
Join a team of talented professionals who value knowledge-sharing, open communication, and a passion for building exceptional systems.
Real Impact
Your work will directly power next-gen autonomous commerce experiences used by top-tier businesses.
Cutting-Edge Technology
Work with advanced AI frameworks like LangChain and LangGraph, and bring LLM-driven features to production in a cloud-native environment.
Autonomy and Innovation
Explore agentic AI, RAG systems, and next-gen architectures with the freedom to propose and test new ideas.
Impactful Contribution
Be part of a company where your work directly impacts the success of a next-generation commerce platform used by top-tier businesses.

AI Engineer – Remote Friendly

Key skills