Senior Forward Deployed Engineer (AI/ML)
Tasks
- Benchmark AI infrastructure performance
- Build AI applications on GPU infrastructure
- Build deployment automation scripts
- Build production ready proofs of concept
- Create migration planners
- Create solution templates and notebooks
- Develop reusable AI starter kits
- Drive product roadmap feedback
- Embed with strategic customers
- Integrate AI workloads with cloud services
- Manage complex migrations
- Optimize GPU utilization
- Serve distributed AI inference workloads
- Test and integrate emerging AI frameworks
- Transition field tools into product features
- Tune performance for customer ROI
Perks/Benefits
- Conference reimbursement
- Employee assistance program
- Flexible time off
- LinkedIn Learning access
- Remote work
- Training reimbursement
Skills/Tech-stack
Artificial Intelligence | CUDA | Continuous batching | CrewAI | Databases | Distributed Systems | GPU Optimization | Go | Infrastructure as Code | Kubernetes | Langgraph | Llamaindex | Machine Learning | Messaging Systems | Microservices | Modular | OpenAI Triton | Pulumi | Python | Quantization | ROCm | Ray Serve | SGLang | TensorRT | Terraform | VLLM | “as-code”
Education
N/A
Regions
Countries
States
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