AI Engineer- SaaS Platform
Tasks
- Build and scale microservices for low latency and high availability
- Build human in the loop evaluation feedback loops
- Deploy and operate Uvicorn and Gunicorn services
- Design background job queues for AI workflows
- Develop REST APIs with authentication and rate limiting
- Implement automated AI quality assessment
- Implement prompt engineering strategies
- Integrate LLM routing for cost latency and quality tradeoffs
- Maintain LLM and VLM services for compliance scoring
- Maintain LLM and VLM services for content generation
- Maintain campaign testing workflows
- Monitor production metrics for token usage latency and error rates
Perks/Benefits
- Career growth opportunities
- Collaborative product driven environment
- Flexible work environment
- Fully remote opportunities
- Technical ownership
Skills/Tech-stack
AWS | Asynchronous processing | Authentication | CI/CD | Celery | Cloud | Docker | Dramatiq | FastAPI | Flask | GCP | Gunicorn | LLM | Logging | Message Queues | Microservices | Monitoring | OpenRouter | Prompt engineering | Python | REST APIs | RQ | Rate Limiting | Uvicorn | VLM
Education
N/A
Roles
AI | AI Engineer | Backend | Backend Software Engineer | Engineer | Software Engineer
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