Related skills
dynamodb datadog postgresql redis grafanaπ Description
- Own the infrastructure powering LLMs across key business surfaces.
- Create scalable LLM evaluation frameworks via CI/CD.
- Deploy RAG systems and MCP servers with PII controls.
- Design human-in-the-loop feedback pipelines for scalable evaluation.
- Bridge research and production to scale AI across Whatnot's ecosystem.
- Stretch beyond comfort to tackle new AI-scale challenges.
π― Requirements
- 4+ years of ML systems and algorithms experience
- Bachelor's degree in CS/Statistics/Applied Math or equivalent
- 3+ years software engineering experience for production systems
- 1+ years Python development
- Experience with PostgreSQL, DynamoDB, Elasticsearch, Redis
- Monitoring with DataDog and Grafana; AWS Sagemaker/Lambda/Kinesis/S3/EC2
π Benefits
- Flexible time off policy and company holidays
- Health insurance (Medical, Dental, Vision)
- Work From Home support and home office setup allowance
- Monthly cell phone and internet allowance
- Parental leave and family planning support
- Retirement plans incl 401k and pension internationally
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