Senior AI Engineer (Applied AI / LLM & RAG)
USD 113K-210K (estimate) Senior-level Full Time
Tasks
- Architect and develop RAG pipelines
- Build LLM applications with commercial APIs
- Create monitoring and alerting runbooks
- Design AI-powered features
- Establish AI security and governance controls
- Implement LLMOps practices
- Lead end to end AI architecture for production systems
- Produce technical documentation and reusable components
Perks/Benefits
- N/A
Skills/Tech-stack
ABAC | Alerting | Audit Logging | Authentication | Azure OpenAI | CI/CD | Citations | Docker | Document AI | Embeddings | FastAPI | Flask | Function Calling | Git | Grounding | Hybrid search | LLMOps | Langchain | Llamaindex | Logging | Monitoring | OCR | Observability | OpenAI | OpenTelemetry | PII Redaction | Prompt engineering | Prompt injection | Prompt injection mitigation | Prompt versioning | Pytest | Python | RBAC | REST API | Rate Limiting | Reranking | Secrets management | Semantic Kernel | Streaming | Vector Database
Education
N/A
Roles
Regions
Countries
States
Cities
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