- We are looking for a Software Developer to support and enhance Agent Spendster an AI powered spend compliance platform that automates procurement and invoice validation across the procure to pay lifecycle
- The role involves building scalable data pipelines integrating enterprise systems productionizing AI solutions and ensuring reliable secure and observable services on Azure cloud
- Develop and maintain scalable AI data integration and automation pipelines
- Enhance Azure Durable Functions workflows orchestration error handling and performance optimization
- Build and support integrations across Snowflake SAP Azure services and enterprise data sources
- Productionize AI solutions and resolve platform pipeline and data quality issues
- Build evaluation and monitoring frameworks for AI ML workloads
- Implement observability logging tracing dashboards and operational monitoring
- Improve automated testing CI CD pipelines authentication and platform reliability
- Collaborate with Data Scientists to operationalize AI models and document intelligence solutions
- Strong Python development experience with Python 3
- x Pydantic Pytest Type Hints and API development
- Experience building cloud native solutions on Microsoft Azure including Azure Functions Durable Functions Azure OpenAI Document Intelligence Cosmos DB Blob Storage and Key Vault
- Strong data engineering and integration skills with SQL Snowflake ETL ELT pipelines and enterprise data platforms
- Knowledge of CI CD Git GitLab DevOps practices observability monitoring and logging frameworks
- Experience with OpenTelemetry Application Insights Grafana and production monitoring tools
- Understanding of secure authentication mechanisms including Managed Identity OAuth2 and Workload Identity Federation
- Exposure to LLM applications Azure OpenAI OCR Document Processing SAP integrations MLflow and Azure ML is preferred
Technology->OpenSystem->Python - OpenSystem->Python,Domain->IOT->Azure IoT,Technology->Artificial Intelligence->Artificial Intelligence - ALL,Technology->Data on Cloud-DataStore->Snowflake,Technology->AI-Generative AI->Generative AI for Data Analytics,Technology->AI-AI Engineering->LLMOps,Technology->AI-AI Engineering->MLOps
