5 days ago
Development of AI services and agents based on internal LLMs Building agent pipelines on LangGraph Integrations with internal and external systems (API, DB, n8n-workflows) RAG: indexing, chunking, search, and ranking on Qdrant Deploying services to production: API, monitoring, quality assessment
Must-have 5+ years of experience Python 3.10+ for 3+ years, async, typing, pytest FastAPI or similar, REST, API design Practical experience with LLMs: prompting, structured output, function/tool calling LangGraph or LangChain in production RAG on vector databases (Qdrant, Weaviate, pgvector or similar): embeddings, hybrid search, reranking Working with OpenAI-compatible APIs (vLLM, LiteLLM, Ollama, etc.) Docker, Git, CI/CD PostgreSQL, Redis
Contacts: recruiter contact
Grade
Senior
Experience
from 5 years
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