Machine Learning Engineer V

About the role

What You'll Do Avalara’s Content Engineering platform supports the compliance content that helps customers manage complex obligations across jurisdictions and product lines. This role exists to lead the design and delivery of enterprise-grade agentic applications and machine learning systems that integrate into Avalara’s products, platforms, and internal workflows.

What you'll do

• Build end-to-end AI-enabled systems that include backend services, application programming interfaces, data access patterns, agent orchestration, retrieval
• Design reusable platform capabilities and cloud-native services that support new compliance content types and improve the compliance content lifecycle
• Make architecture decisions that improve scalability, reliability, resiliency, observability, maintainability, security, and operational efficiency
• Operationalize AI capabilities using modern orchestration and agentic frameworks to improve automation, accuracy, delivery speed, and system quality
• Integrate agents with enterprise applications, data sources, workflow systems, and cloud-native services while maintaining secure and maintainable system boundaries

What you need

• 9–16 years in data science & ai
• Machine learning
• Python
• LLMs
• AWS
• Incident response
• Test automation
• Any graduate

Good to have

• GCP
• System design
• Azure
• Prototyping