Senior AI Engineer
Tasks
- Build intelligent agents and assistants
- Collaborate with data and engineering teams
- Define AI engineering strategies
- Design retrieval-augmented generation solutions
- Develop LLM-powered applications
- Ensure production readiness reliability and testing
- Ensure responsible AI security privacy governance
- Establish prompt engineering best practices
- Implement tool calling workflows
- Lead AI engineering workstreams
- Maintain code quality and documentation
- Mentor AI engineering practitioners
- Perform AI workflow evaluation
- Review deliverables for quality and safety
- Translate requirements into implementation plans
Perks/Benefits
- Career growth
- Dental insurance
- Health Savings Program
- Hybrid work
- International mobility
- Learning resources
- Medical insurance
- Remote work
- Vision insurance
Skills/Tech-stack
AI Services | API Management | Agile | Apache Spark | Azure AI | Azure AI Services | Azure API | Azure API Management | Azure DevOps | Azure OpenAI | CI/CD | Cloud Native | Cloud Native Architecture | Context Management | Cosmos DB | Databricks | Embeddings | Git | GitHub | JSON | Language Models | Large Language Models | Maintainability | Microsoft Azure | Microsoft Fabric | Powershell | Prompt engineering | PySpark | Python | REST APIs | Reliability Engineering | Retrieval-Augmented Generation | SQL | Scalable systems | Testing | Tool-Calling | Workflow evaluation
Education
N/A
Roles
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