AI Developer
Tasks
- Architect Generative AI solutions
- Build AI delivery platform with Azure AI Foundry
- Build and govern AI knowledge base
- Create technical documentation and runbooks
- Define AI evaluation frameworks
- Deliver AI enablement curriculum and workshops
- Design MCP model context servers
- Develop Python libraries and services
- Develop secure API integrations
- Implement prompt and model testing
- Integrate LLMs into production systems
- Lead cross functional AI rollout
- Lead delivery of agentic workflows
- Manage security privacy and regulatory risks
- Monitor AI performance in production
- Recommend AI tools and frameworks
Perks/Benefits
Skills/Tech-stack
AI Foundry | Authentication | Authorization | Azure AI | Azure AI Foundry | Azure OpenAI | CI/CD | Cloud Native | Cloud Native Services | DevOps | Evaluation | Generative AI | Governance | LLMOps | Language Models | Large Language Models | MCP | MLOps | Microsoft Copilot | Model Context Protocol | Monitoring | Native services | Observability | Privacy | Prompt engineering | Python | RAG | Red Teaming | Retrieval-Augmented Generation | SQL | Secrets management | Security
Education
Roles
AI | AI Architect | AI Specialist | Architect | Senior AI Specialist | Specialist
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