Senior ML Engineer - Agentic, Production Systems

Avalara Technologies; United States; Remote; USD 180,000 - 240,000; Full time

Job summary

Avalara Technologies seeks a Senior Machine Learning Engineer V to lead design and delivery of enterprise-grade agentic applications and ML systems that integrate with Avalara’s products, platforms, and workflows.

The role owns complex AI systems from architecture through production, including full-stack integration, backend services, orchestration, evaluation, deployment, and observability. You will mentor engineers and drive engineering standards in a fast-paced, secure environment.

Qualifications

• Experience building scalable, distributed production systems using cloud-native architecture and at least one major cloud platform (AWS, Azure, or GCP).
• Experience building enterprise agentic applications that use LLMs, tools, workflows, retrieval, APIs, and application integration patterns.
• Experience integrating AI capabilities into production applications, backend services, or enterprise systems.
• Strong software engineering skills in Python and backend service design, distributed systems, and cloud-native platforms.

Responsibilities

• Lead the architecture and delivery of enterprise-grade agentic applications that integrate with Avalara products, Content Engineering platforms, services, workflows, and user experiences.
• Build end-to-end AI-enabled systems that include backend services, APIs, data access patterns, agent orchestration, retrieval, tool integration, UI components, evaluation, deployment, monitoring, and production support.
• 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.
• Establish engineering standards for software design, CI/CD, automated testing, deployment automation, observability, incident response, and production operations.
• Improve platform performance, latency, throughput, reliability, and cost efficiency at scale.
• Apply evaluation, monitoring, and deployment practices that improve AI-enabled system performance in production.
• Work across model providers and model families to improve model selection, routing, quality, latency, reliability, and spend.
• Partner with engineering, infrastructure, product, security, data, and domain teams to deliver measurable customer and business outcomes.
• Mentor engineers, lead design reviews, create reusable engineering patterns, and raise team capability in distributed systems, cloud engineering, software architecture, full-stack development, and responsible AI adoption.

Skills

Architecture design

Distributed systems

Python

Cloud-native platforms

Backend services

Full-stack development

ML systems production

LLMs and AI tooling

Security and reliability

Mentoring engineers

Education

B.S. in Computer Science or Engineering

Job description

Avalara Technologies seeks a Senior Machine Learning Engineer V to lead design and delivery of enterprise-grade agentic applications and ML systems that integrate with Avalara’s products, platforms, and workflows.

The role owns complex AI systems from architecture through production, including full-stack integration, backend services, orchestration, evaluation, deployment, and observability. You will mentor engineers and drive engineering standards in a fast-paced, secure environment.