Architect MLE
USD 160K-201K (estimate) Senior-level Full Time
Tasks
- Architect agentic AI systems
- Build multi-agent workflows
- Create evaluation frameworks
- Define metrics and KPIs
- Deploy low latency agentic systems
- Design orchestration layers
- Develop custom agent tools
- Establish observability and tracing
- Implement RAG systems
- Implement infrastructure-as-code
- Implement state management and memory
- Integrate and optimize Large Language Models
- Own MLOps monitoring and maintenance
- Set up CI/CD pipelines
Perks/Benefits
Skills/Tech-stack
AKS | AWS | Arize AI | Asynchronous programming | Azure | Azure Functions | Azure ML | Azure VMs | CI/CD | ChromaDB | Cloud Functions | Cloud platform | CloudFormation | Docker | EC2 | EKS | FastAPI | GCE | GKE | Git | GitHub Actions | Google Cloud | Google Cloud Platform | Jenkins | Kubernetes | Lambda | Langsmith | Language Models | Large Language Models | Machine Learning | Microservices | Monitoring | Observability | PEFT | Pinecone | PyTorch | Python | RAG | SageMaker | TensorFlow | Terraform | Tracing | Transformers | Vector Databases | Vertex AI | Weaviate | Weights and Biases
Education
N/A
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