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Location: Poland Contract: B2B Salary: 33.000 - 38.000 PLN net B2B How this role works: You will start by building th...

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Selected role

Staff AI Engineer (LLM)

Tidio Warszawa, MZ, PL

Senior Full-time

Location: Poland

Contract: B2B

Salary: 33.000 - 38.000 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 (all levels):

At least 6 years of experience in ML / AI engineering
Experience designing large-scale, production LLM architectures
Proven experience designing 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, fine-tuning, and user-facing integrations
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
Ability to drive technical direction and mentor other engineers

You will earn extra points for experience with:

PyTorch, Hugging Face, and modern ML tooling for training and inference
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
Remote-first work with flexible hours
Possibility to use one of our 2 offices in Poland (Warsaw or Szczecin), or book a Regus coworking space in your city
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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