Strong Python skills and proven production experience with Agentic ecosystems
Embeddings & Vector search
Prompt & Context engineering
RAG, CRAG, GraphRAG
LangChain, LangGraph, CrewAI
Agent's testing & verification
Agentic Tools and skills
AI-assisted coding models & tools
Strong analytical and problem-solving mindset
Ability to clearly communicate findings and trade-offs
Ownership of tasks from research to implementation
Curiosity and willingness to explore new approaches
Level of English enough for efficient technical and business communication with native speakers
Autonomous Agents & Deep Agents
Model types and capabilities (Thinking, Multimodal models)
LLMOps
GenAI Observability
Memory management & Prompt caching
Model Governance & Data Governance (Responsible AI)
Basics knowledge of Cloud infrastructure
Agentic patterns
Integration mechanics (MCP, AA-protocol)
Basic understanding of machine learning fundamentals
Supervised learning, models training, model evaluation
Overfitting, regularization, cross-validation
Knowledge of statistical methods and probability theory