Software Development Engineer.5
Tasks
- Automate model lifecycle management
- Build AI copilots for operational workflows
- Build AI observability platforms
- Build CI CD pipelines for AI models
- Build platform infrastructure with multi region deployments
- Build production inference platforms
- Build secure AI gateways
- Deploy and manage LLM workloads on Kubernetes
- Design GPU enabled inference infrastructure
- Design RAG pipelines
- Design and build enterprise AI platforms
- Develop AI agents and MCP servers
- Develop AI assessment frameworks
- Enable autonomous incident investigation and remediation
- Implement AI anomaly detection
- Implement prompt versioning and model experimentation
- Optimize capacity and predictive failure analysis
- Provision infrastructure autonomously
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | AI Evaluation | AWS | Anthropic Claude | ArgoCD | BentoML | Distributed Systems | Docker | Elastic | Feature Store | Feature Stores | GPU scheduling | GitOps | Golang | Grafana | Helm | Inference Server | Jaeger | KServe | Kubeflow | Kubernetes | LLM | LLMOps | Langchain | Langgraph | MLOps | MLflow | Model Context Protocol | Model Monitoring | NVIDIA CUDA | New Relic | OpenAI API | OpenTelemetry | Prometheus | Prompt engineering | Python | RAG | Ray | Service Mesh | Terraform | Triton Inference | Triton Inference Server | Vector Databases
Education
N/A
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