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About the Role
Paradigm is building a new type of workspace that allows knowledge workers to leverage LLMs for research at scale through a simple and intuitive UI. Our purpose-built infrastructure orchestrates hundreds of thousands of agents to process millions of tokens per minute, compressing days of research into seconds. The role involves confronting and solving unique problems related to parallelizing agents at this magnitude, including race conditions, real-time data transmission, and optimizing agent performance.
Responsibilities
- Managed, designed, and deployed distributed services in a production environment.
- Act as a resource for peers, assisting with debugging and answering questions.
Requirements
- 7+ years of experience as a software engineer.
- Consistent record as a primary individual contributor to several medium to large projects.
- Ability to convey complex concepts clearly.
- Ability to facilitate difficult conversations.
- Ability to ensure everyone is on the same page.
Skills
- Go
- Redis
- PubSub
- RPC
- Postgres
- S3
- Temporal
Experience Level
- 7+ years of experience as a software engineer
About the Company
- Our mission is to build a new type of workspace that lets every knowledge worker leverage the power of LLMs to scale immense amounts of research in a simple and intuitive UI.
- Paradigm lets users utilize its purpose-built infrastructure to orchestrate hundreds of thousands of agents to process millions of tokens per minute, compressing days of research into seconds.
- Our team must confront and solve problems unique to parallelizing agents at this magnitude, not limited to: race conditions for 10^5 agents writing to a data model simultaneously, realtime transmission of agent outputs across all services to the client, optimizing for both write throughput and in-memory footprint for each agent.