Mid AI Engineer (LLM)

Location: Poland

Contract: B2B

Salary: 22.000 - 25.000 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 clients 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 youll 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 youll 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 youll 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 1 year of experience working with NLP / LLM systems in production

• Experience contributing to production ML or AI services

• 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

• Eagerness to learn and grow in a fast-moving environment

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