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