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Thomson Reuters

Senior Inference Engineer – AI

Thomson Reuters

. Collaborate with platform teams to forecast AI workloads .

Posted 4/24/2026full-timeEagan • Minnesota • 🇺🇸 United StatesSenior💰 $110,000 - $204,200 per yearWebsite

Tech Stack

Tools & technologies
AWSAzureCloudDistributed SystemsGoogle Cloud PlatformKubernetesMicroservicesPythonPyTorchTensorflow

About the role

Key responsibilities & impact
  • Collaborate with platform teams to forecast AI workloads
  • Productionize and optimize AI and LLM workloads
  • Ensure efficient model performance across multi-cloud environments
  • Implement routing and failover strategies for AI traffic
  • Develop and integrate models into production APIs
  • Collaborate with engineering on cloud-native patterns
  • Build and optimize containerized inference pipelines
  • Ensure compliance with AI standards for deployment and governance
  • Profile and optimize performance of inference pipelines

Requirements

What you’ll need
  • 5+ years of relevant experience
  • Strong understanding of ML/LLM fundamentals and inference optimization techniques
  • Hands-on experience with GPU programming (CUDA preferred)
  • Experience with inference runtimes (TensorRT, ONNX Runtime)
  • Experience with deep learning frameworks (PyTorch, TensorFlow)
  • Proficiency in Python and at least one systems language (C++ preferred)
  • Experience deploying AI workloads to AWS/GCP/Azure and Kubernetes
  • Familiarity with vector search systems (OpenSearch)
  • Knowledge of distributed systems and microservices
  • CI/CD and cloud native architecture experience

Benefits

Comp & perks
  • Health insurance
  • Dental insurance
  • Vision insurance
  • Disability insurance
  • Life insurance
  • 401(k) plan with company match
  • Flexible vacation days
  • Mental Health Days off
  • Tuition reimbursement
  • Employee incentives
  • Wellness resources

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
ML fundamentalsLLM fundamentalsinference optimization techniquesGPU programmingCUDAinference runtimesTensorRTONNX Runtimedeep learning frameworksPyTorchTensorFlowPythonC++AI workloads deploymentAWSGCPAzureKubernetesvector search systemsOpenSearchdistributed systemsmicroservicesCI/CDcloud native architecture
Soft Skills
collaborationcommunication