AI Engineer- SaaS Platform
Tasks
- Build asynchronous workflow orchestration
- Build evaluation and feedback pipelines
- Deploy monitor and troubleshoot services
- Design secure versioned documented APIs
- Develop REST APIs for AI services
- Develop production Python services
- Implement prompt engineering strategies
- Maintain and optimize LLM powered services
- Maintain and optimize VLM powered services
- Monitor production metrics and service health
- Optimize model routing and fallback
- Set up Docker deployments and CI CD workflows
Perks/Benefits
- Collaborate with backend and frontend teams
- Full-time employment
- Fully remote
- Hands on experience with production LLM and VLM systems
- Work on AI infrastructure model routing and microservices
Skills/Tech-stack
API Versioning | Asynchronous processing | Authentication | CI/CD | Celery | Docker | Dramatiq | Error Handling | FastAPI | Flask | Gunicorn | Human-in-the-loop | LLM | Latency optimization | Logging | Microservice Architecture | Microservices | Model Evaluation | Monitoring | OpenAPI | Prompt engineering | Python | REST API | RQ | Rate Limiting | The Loop | Token Consumption Monitoring | Token consumption | Uvicorn | VLM
Education
N/A
Roles
AI | AI Engineer | Backend Engineer | Engineer | Python | Python Backend Engineer
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