Data Scientist - Agentic AI Systems - Loops
Core
Design and run applied research initiatives to inform the behavior and learning loops of AI agents, building and evaluating models for planning, memory, retrieval, reasoning, or tool use.
Role type
Senior IC data scientist (agentic AI systems)
Builds
AI agent reasoning, planning, and action loops; internal tools and pipelines for agent behavior testing
Domain
Artificial Intelligence / Agentic Systems / Machine Learning
Deliverable
production ML models
Required skills
Python, SQL, scikit-learn, Pytorch, LangChain, LLMs, retrieval-augmented generation (RAG), Reinforcement Learning, Fine-Tuning
Preferred skills
AutoGen, OpenAgents, LangGraph, decision-making models, memory systems, multi-agent coordination, vector databases, embeddings, custom RAG pipelines, LLM Post Training (SFT, DPO, RLHF, GRPO)
Technologies
Python, SQL, scikit-learn, Pytorch, LangChain, AutoGen, OpenAgents, LangGraph
Responsibilities
Design and run applied research initiatives that inform the behavior and learning loops of AI agents; Build and evaluate models for planning, memory, retrieval, reasoning, or tool use in agentic systems; Develop internal tools and pipelines to test agent behavior across different environments; Analyze structured and unstructured data from user-agent interactions, logs, and experiments; Rapidly prototype and test hypotheses to improve agent performance and reliability; Collaborate with engineering, product, and design to translate insights into deployable features
Seniority
Senior, hands-on IC