AI Developer
Tasks
- Build reusable LLM powered components
- Create documentation runbooks and support adoption
- Design agentic AI systems for multi step workflow automation
- Detect and mitigate hallucinations
- Develop evaluation workflows with test prompts and regression suites
- Enforce guardrails and structured JSON outputs
- Ensure security compliance with PII handling RBAC and audit trails
- Implement RAG pipelines with grounding and citations
- Implement observability with logging tracing and metrics
- Integrate LLM services with Azure and Microsoft 365
- Measure and reduce bias
- Set SLOs and monitor cost latency and accuracy
- Troubleshoot AI automation and integration issues
Perks/Benefits
Skills/Tech-stack
AI Search | API Integration | Allow List | Audit trails | Autogen | Azure AI | Azure AI Search | Azure OpenAI | Azure Storage | Bias Measurement | C# | Content filters | Copilot Studio | Cost monitoring | Deny List | DevOps | Fairness metrics | Function Calling | Functions | GitHub | GitHub Actions | Hallucination detection | JSON Schema | JavaScript | Key Vault | Langchain | Langgraph | Llamaindex | Logging | Logic Apps | Metrics | N8n | Observability | PII handling | Pinecone | Python | R | RAG | RBAC | Rate monitoring | Red Teaming | Regression testing | SLO | Structured outputs | Tracing | TypeScript | Vector Databases | Vector Search | Weaviate
Education
N/A
Roles
Regions
Countries
States
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