Research Engineer – Agent Systems & AI Coding Environment (Seed Infra Platform)

关于这个机会

About the Team The Seed Infrastructures team oversees the distributed training, reinforcement learning framework, high-performance inference, and heterogeneous hardware compilation technologies for AI foundation models. Responsibilities - Build agent harness and execution environments for AI coding and knowledge tasks (code execution, tool integration, sandboxing, system interaction) - Develop scalable orchestration frameworks for multi-step agent workflows (planning, tool use, memory, coordination) - Design evaluation and benchmarking systems to measure agent performance across complex, long-horizon tasks - Improve agent performance via prompting, data curation, and post-training in collaboration with model and RL teams - Partner with research and product teams to productionize agent systems

任职要求

Minimum Qualifications - Bachelor’s degree or above in Computer Science or a related field - Strong programming skills (Python or similar) and solid system-building experience - Experience with LLM-based systems, pipelines, or tool-integrated workflows - Understanding of system design and building scalable infrastructure - Experience building agent harness / runtime systems or AI coding environments - Experience with Docker, Kubernetes or similar orchestration systems, distributed job execution, and containerized/sandboxed code execution environments Preferred Qualifications - Familiarity with evaluation frameworks, prompting / finetuning / RL, or large-scale experimentation

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