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Backend Engineer for Inference Optimization

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Summary

Backend engineer optimizing model inference for Cohere's enterprise API — building low-latency, high-throughput serving infrastructure and batching strategies. Core stack: Go, Rust, or C++, with gRPC, REST APIs, and microservices.

Cohere is looking for a Backend Engineer to specialize in optimizing model inference systems. In this remote-first role, you will create low-latency serving infrastructure for advanced backend services.

Candidates for this position must have over five years of backend engineering experience and strong programming skills in Go, Rust, or C++. You'll work on building backend services that enhance Cohere's enterprise API, focusing on batching strategies and performance optimization.

Key Responsibilities: • Establish low-latency serving infrastructure for model inference • Develop backend services for the enterprise-level API • Implement batching strategies to maximize throughput efficiency • Optimize model serving and inference processes • Collaborate within a remote-first culture

Requirements: • 5+ years of relevant backend engineering experience • Proficiency in Go, Rust, or C++ • Experience with low-latency and high-throughput systems • Knowledge of model serving optimization • Familiarity with gRPC, REST APIs, and microservices

Utilize your expertise in backend engineering to drive innovations in model inference at Cohere.

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