Python Engineer (LLMs)

The role

We’re looking for a Mid-level Python Engineer (3+ years of experience) to join our team and work on AI-driven products using LLM technologies. If you want to grow in applied AI, build real production features, and have exposure to client-facing projects - this role is for you.

You’ll work closely with more experienced engineers, product managers, and clients, gradually taking more ownership over the solutions you build.

What you’ll do

• Develop and deploy AI-driven features with a focus on reliability and iteration

• Support the implementation of LLM/NLP-based data extraction and analysis solutions

• Work on LLM-powered pipelines (e.g. RAG, prompt-based systems, basic agent workflows)

• Help optimize performance of AI systems for real-time or larger-scale use cases

• Participate in client meetings to understand requirements and discuss progress (with support)

• Collaborate closely with product managers, engineers, and other stakeholders

• Learn and apply best practices around model evaluation, monitoring, and lifecycle tracking

What we are looking for

• 3+ years of commercial experience as a Software Engineer

• Hands-on experience with Python (e.g. NumPy, Pandas, Scikit-learn or similar)

• Initial experience working with LLMs or NLP solutions

• Familiarity with concepts like RAG, vector search, embeddings, or LLM-based pipelines

• Experience building services using FastAPI

• Willingness to learn and grow in AI/LLM-based architectures

• Experience working with databases- both relational and/or NoSQL (e.g. PostgreSQL, MySQL, MongoDB); ability to design simple schemas and write efficient queries

• Comfortable working in a bilingual environment (Polish B2+, English B2+)

What we offer

• 14 000 - 18 000 PLN net + VAT monthly (B2B)

• 100% remote setup and flexible hours

• Private medical care, life insurance, and Multisport 🏃‍♂️‍➡️

• Referral bonuses

• Equipment of your choice (MacBook by default)

• Interesting, meaningful projects - we only take on the ones we believe in 🙂