YTC

AI Engineer Offline

YTC Verified Employer

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 in modern Agents development.

🧙‍♂️ 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 Qdrant & 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.
  • Active code agents user.
     

🍰 Role Requirements

Agents

  • Experience in LLM Agents architecture (not only Langchain)
  • Vector databases: Qdrant / Milvus (must have experience with at least one)
  • Azure AI Search, 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
  • LangChain / 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.
  • Financial compensation for completing certifications and encouraging continuous learning and professional development.
  • Flexible working hours to promote a healthy work-life balance.

Required skills experience

RAG 1 year
Qdrant 1 year
Python 2 years

Required languages

English B2 - Upper Intermediate
Ukrainian Native
Docker, LLM, Pydantic AI, OCR, Git, LangChain, Azure Cloud

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