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Location: Warsaw/Cracow (hybrid: 1-2 days per week in the office) Contract: B2B Salary: 25.000 - 33.000 PLN net B2B H...

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Selected role

Senior AI Engineer (LLM)

Tidio Kraków, ML, PL

Senior Full-time

Location: Warsaw/Cracow (hybrid: 1-2 days per week in the office)

Contract: B2B

Salary: 25.000 - 33.000 PLN net B2B

How this role works:

You will start by building the system as part of our team, working in a focused, greenfield setup. After a few months of introduction to the project, you will seamlessly continue working on the same product directly with the client, becoming part of the client’s team responsible for its long-term development and scaling. There is no handover phase and no context switching - you stay with the same codebase, product, and technical challenges, while gaining long-term ownership and impact.

What you’ll work on:

Designing, implementing, and deploying end-to-end NLP and deep learning systems
Building LLM-powered applications that interact with real users
Developing and maintaining production Python services
Exposing models and pipelines via REST APIs (FastAPI, Flask)
Working on retrieval models and techniques (RAG, embeddings, ranking)
Evaluating, monitoring, and continuously improving model and system quality
Scaling systems to handle **enormous volumes of requests

Biggest challenges in this role:**

Greenfield project built from scratch
High-scale, user-facing systems with strict performance and reliability requirements
Designing systems meant for long-term ownership, not short-term delivery
Balancing model quality, latency, and cost in production LLM systems

What you’ll learn:

How to build LLM-powered products from scratch and take them to production
Proven approaches to running LLMs in production at scale
How to design, evaluate, and evolve NLP systems used by real users
Best practices for **production ML and AI system architecture

What you’ll get to try and experiment with:**

End-to-end ownership of LLM-based systems
Optimizing retrieval models, RAG pipelines, and inference workflows
Experimenting with different LLMs, prompting strategies, and system designs
Solving performance and reliability challenges under heavy traffic

Core requirements:

At least 4 years of experience in ML / AI engineering
Proven experience owning production NLP or LLM systems
Strong understanding of Transformer architecture and deep learning foundations behind modern LLMs (attention mechanisms, self-attention, positional encoding, encoder–decoder vs decoder-only models)
Proven experience designing, fine-tuning, and deploying end-to-end NLP and deep learning solutions in production environments
Hands-on experience building LLM-powered production systems (e.g. GPT, Claude, Gemini), including prompt engineering, evaluation, supervised fine-tuning (SFT), instruction tuning, and parameter-efficient fine-tuning methods (e.g. LoRA, adapters), as well as user-facing integrations
Experience training and fine-tuning Transformer-based models using frameworks such as PyTorch and Hugging Face (including dataset preparation, tokenization strategies, hyperparameter tuning, and evaluation pipelines)
Strong understanding of scalability, performance optimization, and system design for large-scale ML/LLM systems
Python proficiency with experience building and maintaining reliable production services and data pipelines
Strong software engineering mindset, including code quality, testing, scalability, and production deployments
Experience building RESTful APIs (FastAPI, Flask) to expose ML/LLM capabilities
Curiosity and commitment to continuous learning in the NLP/LLM/AI space
Collaborative team-player with strong communication skills

You will earn extra points for experience with:

MLOps practices and tooling
RAG systems, vector databases, and retrieval optimization
multiple LLM providers or open-source models
*high-traffic, high-availability systems

We want to offer you:**

Work with an experienced team that continually shares knowledge and is not afraid of testing new solutions
Flexible hours
Individual work tools – Macbook Pro, Dell screen, JBL headphones? You can tailor the equipment to your needs
Sport & wellness benefit (Kafeteria MyBenefit)
Private medical care
A comprehensive benefits package after transitioning to our partner, including employee benefits, training opportunities, and occasional bonuses

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