Senior AI Product Engineer
Tasks
- Apply LLM evaluation techniques
- Build RAG solutions for contextual retrieval
- Build async Python services with testing
- Collaborate to deliver AI driven product features
- Communicate progress risks and technical decisions
- Contribute to infrastructure with Terraform
- Deploy and operate AI services on Azure
- Design and build AI services and APIs
- Develop agent based multi step workflows
- Implement monitoring and feedback loops
- Implement structured outputs and validation
- Integrate AI services into .NET components
- Set up observability and CI CD
Perks/Benefits
- N/A
Skills/Tech-stack
.NET | Alembic | Application Insights | Async Python | Azure | Azure DevOps | Azure Functions | Azure OpenAI | Azure Web | Azure Web Apps | C# | CI/CD | FastAPI | LLM Evaluation | Language Processing | Natural Language | Natural Language Processing | Pydantic | Pydantic AI | Pydantic v2 | Pytest | Python | RAG | SQLAlchemy | Terraform | Web Apps
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Engineer | AI Product Engineer | Engineer | Product Engineer | Senior AI Engineer
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