AI Engineer
Tasks
- Build RAG pipelines
- Coordinate user acceptance testing and feedback loops
- Define solution architectures for Azure AI platform
- Design and develop generative AI applications
- Develop agent-based workflows
- Enable low code no code users and SMEs
- Ensure compliance with AI policies risk controls and data handling
- Ensure reliability scalability and maintainability
- Establish prompt evaluation and testing best practices
- Implement automated build test deployment and monitoring
- Integrate document intelligence knowledge assistants and process automation
- Orchestrate prompts
- Select models based on quality latency cost security
Perks/Benefits
- Company volunteer donation matching
- Digital course library
- Employee assistance program
- Hybrid work
- Mindfulness programs
- Volunteer paid time off
- Wellbeing programs
Skills/Tech-stack
Agent workflows | Azure AI | CI/CD | Evaluation testing | Generative AI | Graph API | LLM | Language Models | Large Language Models | Microsoft 365 | Microsoft Graph | Microsoft Graph API | Monitoring | Prompt engineering | Python | RAG | SharePoint | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Computer Science | Bachelor of Science in Data Science | Bachelor of Science in Engineering
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Software Engineer
Regions
Countries
States
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