Senior AI Engineer(part-time)

Що очікуємо

• Hands-on experience building multi-agent systems with LangGraph; knows failure modes in production (infinite loops, state desync, tool call storms)
• Advanced RAG implementation: chunking strategies, hybrid search, reranking, evaluation metrics (MRR, NDCG, recall@k)
• Production eval pipeline experience: can walk through an eval they designed — metric, dataset, what it caught
• LLM APIs: OpenAI, Azure OpenAI, Anthropic Claude, Gemini — can justify model selection with data
• Prompt engineering: system prompt design, few-shot calibration, prompt caching, injection defense