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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