Data Scientist (LLM/RAG, project based)

Що робити

Agentic Solutions & AI Orchestration (Core Focus)
Autonomous Workflow Design: Architect, build, and deploy autonomous and semi-autonomous AI agents (using modern LLM orchestration, tool-use, and multi-agent frameworks) to automate complex, multi-step media management workflows.
Tool-Using Agents: Develop agents capable of interacting directly with client's internal tools and external APIs (e.g., DSPs, ad servers, ERPs) to execute actions, run diagnostics, and fetch real-time campaign data.
Human-in-the-Loop (HITL) Guardrails: Design robust evaluation, permissioning, and safety frameworks to ensure agentic decisions—especially those involving live budget allocations or financial adjustments—operate safely with appropriate human oversight.
Media Planning & Predictive Intelligence

Agentic AI & Modern LLM Architecture
Agentic Frameworks: 3+ years of Data Science / ML experience, with hands-on expertise building and deploying production-grade agentic architectures using frameworks like LangGraph, CrewAI, AutoGen, or LlamaIndex.
Tool Use & Function Calling: Proven experience implementing function calling, tool use, structured outputs (e.g., Pydantic/Instructor), and multi-agent coordination.
LLM Engineering & RAG: Deep practical understanding of prompt engineering, fine- tuning, retrieval-augmented generation (RAG), context management, and vector database architectures (e.g., Qdrant, Pinecone, Milvus, PGVector).
AI Guardrails & HITL: Experience designing safety mechanisms, rate/cost controls, huma