AI Engineer
Tasks
- Build eval and monitoring layer
- Build retrieval layer with indexing and hybrid search
- Build tool layer for enterprise systems
- Design guardrails approval gates and rollback paths
- Design production agents end to end
- Diagnose production failures from execution traces
- Generalize platform capability across customers
- Improve agent performance with prompting and decision logic
- Instrument runs for audit and traceability
- Manage agent context and compression
- Use classical machine learning in agent pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
Anomaly Detection | Chunking | Classification | Confidence estimation | Context engineering | Evals | Feature Engineering | Grounding | Hybrid search | Indexing | Language Models | Large Language Models | Logging | Model Evaluation | Monitoring | Orchestration | PII handling | Python | RAG | RBAC | Ranking | Regression testing | Reranking | Retrieval-Augmented Generation | Routing | SSO | Supervised Learning | Tool-Calling | Tracing | TypeScript
Education
N/A
Roles
AI | AI Engineer | Engineer
Regions
Countries
States
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