Senior ML Performance Engineer
USD 177K-250K (estimate) Senior-level Full Time
Tasks
- Build semantic retrieval using embeddings vector search and hybrid ranking
- Design build evolve MCP servers tools and agent facing APIs
- Develop React TypeScript frontend experiences for agent features
- Implement enterprise security OAuth 21 tenant isolation and audit logging
- Implement observability tracing SLOs and production diagnostics
- Integrate GraphQL and REST APIs streaming responses and SDKs
- Integrate automated evaluations into CI CD release gates
- Optimize token and context efficiency
- Run AI ML quality programs with evaluations and safety testing
Perks/Benefits
- N/A
Skills/Tech-stack
Audit Logging | Autoscaling | Backpressure | CI/CD | Caching | Concurrency | Connection pooling | Context Optimization | Embeddings | Evaluation | GraphQL | Hybrid search | Injection Defense | JSON Schema | JavaScript | Lazy Loading | Load Balancing | Load shedding | Machine Learning | OAuth 2.1 | Observability | Pagination | Prompt injection | Prompt injection defense | Quality Engineering | REST | Ranking | React | Reranking | Retries | SDKs | SLO | Security Testing | Semantic Search | Streaming APIs | Timeouts | Token optimization | Tracing | TypeScript | Vector Database | Vector Search
Education
N/A
Regions
Countries
States
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