Sr. AI Engineer
Tasks
- Build retrieval-augmented generation pipelines
- Debug backend and AI inference workflow issues
- Design deploy production grade AI backend systems
- Develop Python backend services with best practices
- Implement deployment automation and infrastructure improvements
- Implement testing for AI components
- Improve observability and error reporting for APIs
- Integrate large language models into product architectures
- Optimize AI model execution and reduce latency
Perks/Benefits
- Collaborative cross-functional environment
- High-autonomy environment
- Opportunity to shape AI architecture
- Remote work flexibility
Skills/Tech-stack
API Monitoring | Background Processing | CI/CD | Celery | Docker | Error Tracking | FastAPI | Flask | Kubernetes | Language Models | Large Language Models | Machine Learning | Multi-threading | Observability | Parallel processing | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | Testing | Vector Databases
Education
N/A
Roles
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