AI Engineer

We seek an AI Engineer with strong expertise in state-of-the-art techniques for RAG, LLM Agents. You will be responsible for designing, developing, and deploying AI-driven solutions for our Clients and in-house solutions. The ideal candidate has hands-on experience with a wide range of techniques — from classical Machine Learning to modern Agents.

🧙‍♂️ In This Role You Will

• Develop AI agents, including chat agents and metric extraction agents.
• Create evaluation pipelines for agents, including tool usage and RAG (Retrieval-Augmented Generation) assessments like coherence and relevance.
• Improve results from Azure AI Search.
• Research and apply state-of-the-art techniques for agents and RAG systems.
• Maintain and support evaluation datasets.

• Write documentation for back-end integration or handle integration directly when needed.

   

🎯 You May Be Interested If

• You are excited about learning and working with AI technologies.
• You enjoy solving complex problems and have strong analytical skills.
• You thrive in a remote work setup and appreciate flexible working hours.
• You are eager to join a small, dynamic team and make a big impact.
• You value a company culture that promotes transparency, respect, and continuous learning.
• You are self-motivated and willing to learn new skills, even if you have little or no prior experience in AI.

🍰  Role Requirements

Agents

• Experience in LLM Agents architecture (not only Langchain)
• Azure AI Search experience
• BM25 experience
• Semantic Reranking
• RAG evals (embeddings, LLM as a Judge)
• RAG (Naive, Graph, Hybrid, Agentic)
• Experience in different data mining techniques from unstructured data
• OCR
• PydanticAI

Web (nice to have)

• Django (DRF)
• Fastapi
• Celery

Infrastructure

• Azure Cloud

• Docker

   

💻 Working Conditions

• This is a fully remote position with the entire team across Ukraine.
• The team collaboratively defines deadlines, ensuring a balanced and manageable workload. The focus is on delivering commitments on time.
• 20 working days of paid vacation per year.
• Flexible working hours to promote a healthy work-life balance.
• Financial compensation for completing certifications and encouraging continuous learning and professional development.