Senior AI Platform Engineer
Tasks
- Build data pipelines
- Build shared infrastructure
- Collaborate on architecture decisions
- Design abstraction layers for AI components
- Design and develop platform services
- Develop platform APIs
- Establish engineering standards
- Implement error handling and caching
- Implement platform components
- Maintain API endpoints
- Optimize latency and throughput
- Participate in code reviews
- Productionize models as platform services
- Support deployment and scaling
- Support multiple LLM providers
- Work with data science teams
- Write well-tested code
Perks/Benefits
Skills/Tech-stack
AI metrics | API Development | AWS | AWS CodePipeline | CI/CD | Cloud Platforms | CloudFormation | CloudWatch | Containerization | Datadog | Distributed Systems | Docker | GitHub Actions | Go | Grafana | IaC | Java | Jenkins | Kubernetes | LLM APIs | Model protocols | Monitoring | OpenSearch | PGVector | Pinecone | Prometheus | Prompt engineering | Python | Terraform | Tool Use Patterns | Tool use | TypeScript | Vector Databases
Education
Roles
Regions
Countries
States
Cities
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