Mid AI Engineer
Tasks
- Coordinate architecture security and infrastructure alignment
- Define prompting evaluation and guardrails
- Design end-to-end AI agents
- Develop AI prompts and conversational flows
- Ensure scalability performance resilience and cost optimization
- Implement security auditing access control and traceability
- Measure AI impact adoption and maturity
- Orchestrate LLM interaction with integration tools
Perks/Benefits
Skills/Tech-stack
AI Foundry | Agentic AI | Artificial Intelligence | Azure AI | Azure AI Foundry | Azure Functions | Copilot Studio | Event Driven | Event-driven architecture | GitHub Copilot | JavaScript | Language Models | Large Language Models | Logic Apps | MLOps | Prompt engineering | Python | REST APIs | Retrieval-Augmented Generation
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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