Research Engineer Graduate (Agentic Arch) - 2027 Start (PhD)
Core
Research and deploy reliable long-horizon AI agents that reason over large codebases and complete consequential engineering work across distributed production systems.
Role type
Research Engineer (AI Agents)
Builds
Scalable agent infrastructure for orchestration, evaluation, and reliable execution across large codebases and engineering toolchains.
Domain
AI Agents, Software Engineering, Distributed Systems
Deliverable
production ML models
Required skills
Agent planning and reasoning, model post-training, reinforcement learning, memory and context systems, tool learning, multi-agent systems, agent evaluation, Python/C++/Go/Java programming, experimental design
Preferred skills
Influential publications in top-tier venues, experience building LLM agents or agent platforms, hands-on with execution-feedback loops, distributed agent runtimes, scalable evaluation systems, CI/CD and testing infrastructure
Technologies
Python, C++, Go, Java, Reinforcement Learning, Large Language Models
Responsibilities
Conduct frontier research on reliable long-horizon agents, advance agent capabilities in hierarchical planning and reasoning, co-design agents through post-training and reinforcement learning, build scalable agent infrastructure, apply new methods in representative workflows like cross-repository changes and incident diagnosis, translate research into production systems, collaborate with researchers and infrastructure teams
Seniority
PhD level, Research Engineer