RAI Engineer
INR 2000K-3300K (estimate) Senior-level Full Time
Tasks
- Contribute engineering standards for prompt lifecycle and red teaming
- Define AI validation strategies for GenAI and agentic AI
- Design evaluation frameworks for safety quality and latency
- Drive AI observability logging and usage monitoring
- Embed guardrails prompt controls and safety design patterns
- Establish LLM and RAG testing approaches
- Guide testing and validation for agentic AI systems
- Implement governance auditability and evidence collection
- Lead responsible AI safety design and implementation
- Mentor engineers on AI testing and production monitoring
- Review AI solution designs for risk and resilience
Perks/Benefits
- N/A
Skills/Tech-stack
AI RMF | AIF360 | API Testing | Adversarial Testing | Application Insights | Automated testing | Azure DevOps | Azure Monitor | Bias Evaluation | CI/CD | DeepEval | Fairlearn) | Fairness Bias Evaluation | Git | GitHub | Guardrails AI | Incident diagnostics | LLM Evaluation | Langsmith | Latency optimization | Logging | MLflow | NIST AI | NIST AI RMF | Observability | OpenTelemetry | Prompt engineering | Pytest | Python | RAG | Red Teaming | Retrieval evaluation | Test automation | Token usage | Token usage analytics | Tracing | TruLens | Usage analytics
Education
N/A
Roles
AI | AI Engineer | AI Engineering | AI Engineering Manager | Engineer | Engineering Manager | Manager | Responsible AI | Responsible AI Engineer
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