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.
Roles & Responsibilities:
- 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.
Technical Requirement:
- 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.
