Founding AI Platform Engineer (MLOps / Backend)
Tasks
- Build and maintain ML and GenAI model training evaluation deployment serving monitoring infrastructure
- Collaborate with ML and product teams to deliver platform initiatives
- Develop production backend services and APIs for recommendations and agent workflows
- Enhance platform reliability scalability security performance and cost efficiency
- Establish observability for application health model behavior agent quality latency costs and failures
- Implement reproducibility and model prompt dataset configuration lifecycle management
- Improve CI CD pipelines automated testing release rollback and environment management
- Support experimentation and measurement for reliable model and product evaluation
- Troubleshoot production issues end to end and drive long term engineering improvements
Perks/Benefits
- Cross-functional collaboration
- Foundational ownership
- High autonomy
- Opportunity to influence platform architecture
- Remote work environment
Skills/Tech-stack
Automated testing | Backend APIs | CI/CD | Cloud infrastructure | Cost Optimization | Databases | LLM | MLOps | Machine Learning | Observability | Performance optimization | Prompt versioning | Python | Retrieval-Augmented Generation | Scalability | Security | Vector Search
Education
N/A
Roles
AI | AI Platform Engineer | Backend | Backend Engineer | Engineer | MLOps Engineer | Platform Engineer
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