Must have

• Python

• Machine learning

• NLP

• API

• LoRA

• LLM

• LangChain

• QLoRA

• Polish (B1)

• English (B2)

Requirements description

Required Skills:

• Strong experience with Python, LangChain, Hugging Face, and OpenAI API
• Experience with LLM fine-tuning or prompt tuning techniques (LoRA, QLoRA)
• Understanding of tokenization, attention mechanisms, and vector search
• Proficiency with testing and debugging LLM behavior and output reliability

Offer description

We offer:

• Professional team
• International projects
• Agile methodology
• Flexible hours
• Possibility to work hybrid from our office in Krakow or Bialystok
• Friendly working environment
• Career development opportunities, skills and proficiency growth
• Private healthcare
• Employment on the basis of different types of contracts (UoP/B2B/Umowa zlecenie)

EPOL IT operates within the EPOL HOLDING capital group. For over 15 years EPOL HOLDING group has completed over 100 projects that support business and give an advantage over competitors in the field of telecommunications, industry and health care.

Our key domains are Telecommunications, Internet of things, Automation of business processes, Healthcare, Portal solutions and Artificial intelligence.

Your responsibilities

1. Develop LLM-based capabilities: report summarization, chatbot responses, test configuration assistant
2. Fine-tune or adapt open-source LLMs for specific domain tasks, with a high reliability of results.
3. Integrate LLMs via APIs or local deployment, optimizing latency and security
4. Implement prompt templating, evaluation, and testing frameworks
5. Work closely with architects and UI/UX teams to deploy usable AI features