Senior AI Platform Software Engineer
Tasks
- Build data ingestion pipelines
- Build vector databases
- Conduct code reviews
- Define service level objectives
- Deploy containerized services
- Design GraphQL APIs
- Design high-performance RESTful APIs
- Design testing for non deterministic outputs
- Implement incident response process
- Implement retrieval-augmented generation pipelines
- Implement safety guardrails
- Integrate Large Language Models into backend
- Integrate machine learning models into backend
- Mentor AI software engineering best practices
- Monitor AI system health
- Orchestrate services with Kubernetes
- Perform automated code coverage
- Set up latency monitoring
- Set up model drift monitoring
- Set up model performance tracking
Perks/Benefits
- Annual bonus
- Dental benefits
- Health benefits
- Hybrid work
- Paid time off
- Retirement savings
- Vision benefits
- Wellness benefits
Skills/Tech-stack
API Development | AWS | Alerting | Azure | Code Coverage | Docker | FastAPI | GCP | GraphQL | Incident Response | JavaScript | Kubernetes | Langchain | Langgraph | Monitoring | Pinecone | Python | REST | Real Time | Real-time Systems | Retrieval-Augmented Generation | SLA | SLO | Time Systems | Vector Database | Weaviate
Education
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