AI Platform Developer, Sr.
Tasks
- Build AI development tools APIs and libraries
- Contribute to scalable platform architecture
- Design AI workload infrastructure
- Ensure platform reliability scalability security and responsible AI
- Evaluate emerging AI tools and frameworks
- Implement model versioning and deployment monitoring
- Implement retrieval-augmented generation pipelines
- Improve developer productivity and platform capabilities
- Integrate and optimize Large Language Models
- Manage vector databases and embeddings stores
Perks/Benefits
- 401k matching
- Charity support
- Dental insurance
- Global Employee Stock Purchase Plan
- Life insurance
- Medical insurance
- Paid parental leave
- Paid sick time
- Remote work
- Unlimited Time Away From Work
- Vision insurance
- Volunteer days
Skills/Tech-stack
AWS | Azure | Azure ML | Cloud Security | Cloud platform | Embeddings | Fine Tuning | Go | Google Cloud | Google Cloud Platform | Inference | JavaScript | Kubernetes | Language Models | Large Language Models | MLOps | MLflow | Machine Learning | Model Fine-tuning | Multimodal AI | Observability | Performance Engineering | Python | Retrieval Pipelines | Retrieval-Augmented Generation | Serverless | Training | TypeScript | Vector Databases | Vertex AI | Weights and Biases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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