Senior AI Engineer
Tasks
- Build instrument and evaluate AI ML models
- Collaborate with data scientists AI engineers and MLOps engineers
- Mentor other engineers
- Shape AI platform evolution
- Ship AI features into production product
- Take AI products from prototype to production
- Treat no output failures as defects
Perks/Benefits
- N/A
Skills/Tech-stack
Agent Orchestration | Checkpointing | Concurrent Requests | Data Validation | Graph Databases | Human-in-the-loop | Hybrid search | LLM | Langchain | Langgraph | Language Processing | Multi Replica Deployments | Multi Tenant Safety | Multi-tenant | Natural Language | Natural Language Processing | Observability | Precision-recall | Pydantic | Python | RAG | Rank Fusion | Recommendation Systems | Relational databases | SQL | Stateless services | The Loop | Time Series | Time-series databases | Tool-Calling | Vector Databases
Education
Roles
Regions
Countries
States
Cities
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