AI Engineer
Tasks
- Build RAG pipelines
- Coordinate user acceptance testing and collect structured feedback
- Define solution architectures for Azure AI platform
- Design and develop generative AI applications
- Enable business users to use GenAI tools
- Ensure compliance with AI policies and data handling standards
- Establish prompt design evaluation testing and versioning best practices
- Implement build test deployment monitoring and feedback pipelines
- Integrate low code and no code tools with business workflows
- Orchestrate prompts and agent workflows
- Select models tools and frameworks
Perks/Benefits
- Digital course library
- Employee assistance program
- Hybrid work
- Mindfulness programs
- Paid time off after 6 months
- Paid volunteer time off
- Volunteer donation matching
- Wellbeing programs
Skills/Tech-stack
Agentic Workflows | Azure | Azure AI | CI/CD | Generative AI | Language Models | Large Language Models | Machine Learning | Microsoft 365 | Microsoft Graph | Monitoring | Prompt engineering | Python | Retrieval-Augmented Generation | 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
Regions
Countries
States
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