Senior AI Engineer
Tasks
- Collaborate with cross-functional data teams
- Connect models to business processes
- Define AI engineering approaches
- Design prompt orchestration workflows
- Design reusable implementation patterns
- Drive AI engineering workstreams
- Establish prompt and tool use best practices
- Implement RAG and retrieval patterns
- Improve workflow reliability and integration quality
- Integrate tool calling workflows
- Mentor and coach AI engineering practitioners
- Plan delivery and prioritize tasks
- Review deliverables for quality safety and correctness
- Support governance privacy safety responsible AI
- Translate stakeholder needs into implementation plans
Perks/Benefits
- Career advancement
- Dental insurance
- Health insurance
- Health savings account contributions
- Hybrid work
- Learning and development
- Professional development
- Remote work
- Vision insurance
Skills/Tech-stack
AI Services | API Management | Agentic Applications | Apache Spark | Azure AI | Azure AI Services | Azure API | Azure API Management | Azure DevOps | Azure OpenAI | CI/CD | Context Management | Cosmos DB | Databricks | Embeddings | Git | GitHub | JSON | LLM integration | Language Models | Large Language Models | Microsoft Azure | Microsoft Fabric | Powershell | Prompt orchestration) | PySpark | Python | RAG | REST API | Retrieval-Augmented Generation | SQL | Tool-Calling | Workflow evaluation
Education
N/A
Roles
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