Software Development Engineer - AI / LLM Systems (Python Backend)
Tasks
- Automate data processing evaluation and reporting
- Build backend services in Python
- Debug distributed service issues
- Develop async workflows
- Implement REST APIs
- Implement prompt management and model routing
- Integrate LLM APIs into production workflows
- Manage background jobs
- Monitor telemetry and resolve performance bottlenecks
- Prepare and transform structured and unstructured data
- Validate responses and handle failures
Perks/Benefits
Skills/Tech-stack
.NET Web | .NET Web API | AI Safety | AJAX | API Development | ASP.NET | Agent workflows | Async Programming | Azure DevOps | Background Jobs | Bootstrap | C# | Data Pipelines | Data Privacy | Debugging | Distributed Systems | Docker | Elastic Stack | Embeddings | Entity Framework | Evaluation systems | Git | LLM integration | Linux | Message Queues | Microservices | Model Monitoring | Model routing | Postman | Prompt engineering | Prompt versioning | Python | RAG | REST API | React | Response validation | SQL | SQL Server | Swagger | Swagger UI | Terraform | Vector Databases | Web API | Windows | XUnit
Education
Roles
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