AI Engineer
USD 107K-182K (estimate) Mid-level Full Time
Tasks
- Build retrieval augmented generation pipelines and knowledge bases
- Build reusable components templates and internal libraries
- Create APIs connectors and integration logic between AI platforms and enterprise systems
- Create and maintain technical documentation for solutions and operating procedures
- Define guardrails audit points and monitoring requirements
- Design build and deploy AI powered applications and integrations
- Develop prompts system instructions and evaluation frameworks
- Partner with data engineering and data governance to ensure data quality and compliance
- Support incident response for AI related production issues
- Test AI solutions before release using functional testing and structured evaluation
Perks/Benefits
- N/A
Skills/Tech-stack
AI Foundry | API Integration | Anthropic Claude | App Service | Audit Logging | Azure | Azure AI | Azure AI Foundry | Azure App | Azure App Service | Azure Functions | Azure OpenAI | Benchmarks | C# | CI/CD | Containerization | Data Governance | Docker | Dynamics 365 | ERP | Embeddings | Evaluation Frameworks | Git | JavaScript | Language Models | Large Language Models | Machine Learning | Microsoft Dynamics | Microsoft Dynamics 365 | Monitoring | Prompt engineering | Python | REST APIs | Retrieval-Augmented Generation | SAP | SQL | Security Compliance | TypeScript | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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