Global AI Engineering
Tasks
- Build intelligent assistants and AI agents
- Collaborate with stakeholders to deliver AI use cases
- Design develop deploy Generative AI applications
- Develop API integrations and automation workflows
- Establish reusable AI components prompts workflows and orchestration frameworks
- Evaluate new AI tools models and platforms
- Implement AI governance and security controls
- Implement agent orchestration reasoning and monitoring
- Industrialize pilots into production solutions
- Integrate AI solutions with enterprise systems
- Monitor and optimize AI application performance
Perks/Benefits
- N/A
Skills/Tech-stack
AI Services | AIOps | APIs | Agent Orchestration | Azure AI | Azure AI Services | Azure OpenAI | CI/CD | Cybersecurity | Data Governance | Databricks | Embeddings | Enterprise Architecture | Language Models | Large Language Models | MLOps | Microservices | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | Semantic Search | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Software Engineer
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