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Paradigm is seeking a seasoned software engineer to contribute as a primary individual contributor on large distributed systems. You will help design and deploy production-grade services, collaborating with teammates to debug challenging issues and guide others.
Ideal candidates have strong Go experience, familiarity with Redis, PubSub, RPC, Postgres, S3 and Temporal, and a proven track record of scaling complex workloads.
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.