Research Engineers, Agents
Core
Design, prototype, and implement agentic AI systems that perform reliably across complex enterprise workflows, bridging frontier AI research and production systems.
Role type
Senior IC research engineer (agentic AI systems)
Builds
Compound AI architectures combining planning, tool use, retrieval, memory, evaluation, orchestration, and execution for enterprise customers
Domain
Applied AI, agentic systems, enterprise operations
Deliverable
production ML models
Required skills
Building agentic systems with models/tools/retrieval/planning/memory, Python engineering, systems-level reasoning, designing experiments for agent behavior, using AI tools for code/debugging/experimentation, translating business workflows to agent designs
Preferred skills
None stated
Technologies
Python, AI models, modern AI tools
Responsibilities
Design and implement compound AI architectures; Investigate agent reasoning, coordination, error recovery, and external system interaction; Develop evaluation frameworks for agent behavior and reliability; Create tools for observing, debugging, and testing agent behavior; Partner with AI Researchers and Engineers to harden approaches for production; Integrate agents into customer APIs and operational workflows
Seniority
Senior, hands-on IC
