Founding AI Platform Engineer (MLOps / Backend)
Tasks
- Build and maintain ML and GenAI infrastructure
- Collaborate with ML and product teams
- Develop and operate backend services and APIs
- Establish engineering standards and platform practices
- Establish observability for models and applications
- Identify and mitigate platform scaling risks
- Implement automated testing and release processes
- Improve CI/CD pipelines
- Manage model and prompt lifecycle
- Strengthen reliability scalability security and performance
- Support experimentation and measurement pipelines
- Troubleshoot production issues end-to-end
Perks/Benefits
Skills/Tech-stack
Analytics instrumentation | Automated testing | Backend APIs | CI/CD | Cloud infrastructure | Containerization | Cost Optimization | Experimentation | Feature Flags | GenAI | MLOps | Machine Learning | Model Deployment | Model Monitoring | Observability | Performance Engineering | Prompt versioning | Python | Reliability Engineering | Retrieval systems | Rollback strategies | Scalability | Security | Vector Search
Education
N/A
Roles
AI | AI Platform Engineer | Backend | Backend Engineer | Engineer | MLOps Engineer | Platform Engineer
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