Senior Ai Engineer (Onsite Role)
Tasks
- Architect AI integration initiatives
- Build data pipelines for ingestion and transformation
- Collaborate on code reviews and technical design
- Develop ERP integrations with SQL
- Implement fallback retry and error handling
- Integrate LLM APIs into production workflows
- Manage context and cost tracking for LLM usage
- Mentor team members
- Monitor model quality and drift with dashboards
- Run reliability engineering with Windows services and background workers
- Ship production application code end to end
- Write prompt design and conversation state logic
Perks/Benefits
Skills/Tech-stack
.NET | AWS | Anthropic API | Azure | Background Jobs | C# | Context Management | Conversation state | Data Pipelines | Document extraction | Error Handling | Execution Plans | Fuzzy Matching | Graph API | LLM context management | Langsmith | Logging | Microsoft Graph | Microsoft Graph API | Monitoring | OpenAI API | PDF Processing | Prompt engineering | Prompt evaluation | Promptfoo | Python | Query Optimization | SQL | SQL Query Optimization | SQL Server | SQL query | Tool use | Windows Services
Education
N/A
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