AI Engineer
Tasks
- Build and maintain retrieval pipelines and agent orchestration
- Embed responsible AI practices including safety and privacy
- Establish architecture documentation and reference patterns
- Lead architecture and design of agentic AI solutions
- Own production run including observability and incident response
- Own technical quality and engineering standards
- Translate AI use cases into production ready solutions
- Write production grade AI code
Perks/Benefits
- N/A
Skills/Tech-stack
AI Foundry | APIs | Access Controls | Agent Orchestration | Agile | Anthropic Claude | Azure AI | Azure AI Foundry | Azure DevOps | Azure OpenAI | Bias Mitigation | CI/CD | Data Privacy | Embeddings | Evaluation Frameworks | Function Calling | Git | Grounding | Hallucination mitigation | Human-in-the-loop | Hybrid retrieval | Incident Response | LLM Configuration | Multi-step reasoning | Observability | OpenAI | Output Safety | PII handling | Prompt Safety | Prompt engineering | Python | RAG Pipelines | Re-ranking | Regression testing | Retrieval-Augmented Generation | Structured outputs | The Loop | Tool use | TypeScript | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Engineer
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