Staff Forward-Deployed AI Engineer: Enterprise Inference

Cohere

Oregon

Hybrid

USD 180,000 - 260,000

Full time

5 days ago
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Benefits offered by this job

Lunch stipend
Health and dental benefits
RRSP matching / 401K
Parental leave top-up
Enrichment benefits
6 weeks of paid vacation
Remote-friendly with home office stip

Job summary

Cohere is seeking a Staff Forward Deployed Engineer to bring our frontier AI models into enterprise environments. You will partner with customer engineering teams to design high-performance, secure model serving across multi-cluster and multi-cloud deployments.

You will own the architecture for ambiguous inference challenges, optimize latency and throughput, and drive production-readiness with robust observability.

Qualifications

  • 8+ years of engineering experience in production infrastructure or distributed systems.
  • Deep Kubernetes expertise across multi-cluster and hybrid/multi-cloud setups.
  • Strong understanding of LLM architectures and inference dynamics.
  • Hands-on experience with modern inference engines and optimization stacks.
  • Familiarity with distributed serving techniques, such as prefill/decode disaggregated serving, distributed KV caching, and multi-GPU workloads.
  • Exceptional customer-facing technical leadership with a track record of steering executives.
  • The ability to write production code under deployment constraints.
  • Strong Python, Go, or C++ programming foundations.

Responsibilities

  • Embed with customer teams to connect AI models to live production environments.
  • Design multi-tenant model serving topologies and cross-datacenter strategies for multi-cluster environments.
  • Optimize private deployments balancing SRE constraints and model performance.
  • Benchmark and profile LLM workloads, identify and root-cause performance bottlenecks.
  • Assist with hardware validation on GPUs, TPUs, and accelerators.
  • Translate field feedback into platform improvements and drive feature development.
  • Ensure Day-1 production reliability and establish deployment patterns and observability.

Skills

Kubernetes
LLM Inference
Distributed Systems
Python
Go
C++
Customer Leadership
Multi-cloud
Performance Optimization

Tools

vLLM
TensorRT-LLM
LMD
Dynamo

Job description

Cohere is seeking a Staff Forward Deployed Engineer to bring our frontier AI models into enterprise environments. You will partner with customer engineering teams to design high-performance, secure model serving across multi-cluster and multi-cloud deployments.

You will own the architecture for ambiguous inference challenges, optimize latency and throughput, and drive production-readiness with robust observability.

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