Staff Applied AI Researcher - Agentic Reasoning Systems (Brazil)
Core
Define runtime reasoning and autonomous decision-making for enterprise AI platforms, ensuring reliability in production environments.
Role type
Staff Applied AI Researcher (Agentic Reasoning Systems)
Builds
Autonomous agentic reasoning systems, orchestration primitives, and evaluation harnesses for enterprise AI.
Domain
Generative AI, Autonomous Agents, Enterprise Software
Deliverable
production ML models | product features
Required skills
Multi-agent coordination, probabilistic inference, model routing, evaluation of autonomous systems, Python software architecture, technical leadership
Preferred skills
Probabilistic modeling, control theory, reliability engineering for autonomous AI, integrating heterogeneous components, publication record, domain familiarity in regulated industries
Technologies
Python, ModelMesh, LLMs, Knowledge Graphs, Retrieval Systems
Responsibilities
Set technical direction for agentic reasoning systems and runtime intelligence; Architect infrastructure for researcher augmentation at scale; Advance the science of autonomous reasoning via learned components; Unify perception, retrieval, reasoning, and action into coherent workflows; Drive research on agent reliability for regulated environments; Define evaluation methodology for runtime intelligence; Influence platform-level architecture; Mentor researchers across levels; Maintain hands-on research impact
Seniority
Staff, hands-on IC with strategic influence
