(Sr.) Applied AI Engineer
Tasks
- Build LLM powered product features
- Build and ship AI agent projects
- Design and operate AI infrastructure
- Develop evaluation harnesses
- Implement telemetry and platform services
- Iterate from prototype to production impact
- Root cause AI system failures and deploy durable fixes
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agent systems | Azure | C# | C++ | CUDA | Context engineering | Docker | Evaluation | Fine Tuning | Golang | Google Cloud | Java | Kubernetes | LLM Agents | Language Models | Large Language Models | Multi-Agent | Multi-Agent Systems | NEMO | Python | Retrieval-Augmented Generation | Supervised Fine Tuning | Telemetry | TensorRT | Terraform | Token optimization | Triton
Education
N/A
Roles
AI | AI Engineer | Applied AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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