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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 & technologiesAWSAzureCloudDistributed 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
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
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