Avalara

Machine Learning Engineer V

Avalara
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14 hours ago
Remote, IndiaStaff+

Responsibilities

  • Lead architecture and delivery of enterprise-grade agentic applications integrated with Avalara products, platforms, workflows, and user experiences.
  • Build end-to-end AI-enabled systems spanning backend services, APIs, data access, agent orchestration, retrieval, tool integration, frontend components, evaluation, deployment, monitoring, and production support.
  • Design reusable cloud-native platform capabilities supporting new compliance content types and the compliance content lifecycle.
  • Improve scalability, reliability, resiliency, observability, maintainability, security, operational efficiency, performance, latency, throughput, and cost efficiency.
  • Establish engineering standards for software design, code quality, continuous integration and delivery, automated testing, deployment automation, observability, incident response, and production operations.
  • Integrate agents with enterprise applications, data sources, workflow systems, and cloud-native services.
  • Apply evaluation, monitoring, deployment, and model-selection practices across model providers and model families.
  • Partner with engineering, infrastructure, product, security, data, and domain teams to deliver business and customer outcomes.
  • Mentor engineers, lead design reviews, create reusable engineering patterns, and raise technical standards across teams.

Requirements

  • Bachelor of Science degree in Computer Science or Engineering.
  • 12+ years of experience in software engineering, machine learning engineering, applied machine learning, generative AI, enterprise application development, or production AI systems.
  • Experience building scalable distributed production systems using cloud-native architecture and at least one major cloud platform.
  • Experience building enterprise agentic applications using large language models, tools, workflows, retrieval, APIs, and application integration patterns.
  • Strong Python software engineering experience with backend services, APIs, distributed systems, and cloud-native platforms.
  • Full-stack experience with backend services, APIs, relational databases, scalable data access patterns, frontend-backend contracts, authentication, and modern web technologies.
  • Experience applying the software development lifecycle through requirements analysis, architecture, implementation, testing, release planning, deployment, monitoring, incident response, support, and continuous improvement.
  • Experience shipping and supporting production machine learning, large language model, or AI-enabled application systems beyond prototypes.
  • Hands-on experience with retrieval-augmented generation, embeddings, prompt design, evaluation, classification, agent tool-use patterns, small language models, or large language model-powered workflows.
  • Experience with asynchronous or distributed workflows, observability, monitoring, deployment automation, and production operations.
  • Ability to design for security, access control, governance, compliance, reliability, maintainability, resiliency, and cost efficiency.
  • Strong system design skills and ability to lead complex initiatives across stakeholders.
  • Ability to mentor engineers, lead design reviews, and raise technical standards across teams.

Benefits

  • Compensation package, paid time off, and paid parental leave.
  • Many employees are eligible for bonuses.
  • Benefits generally include private medical, life, and disability insurance, varying by location.
  • Remote role.
  • Inclusive culture with employee-run resource groups and senior leadership sponsorship.
Avalara

About Avalara

5,001-10,000 employees

Avalara builds cloud software that automates tax calculation, returns filing, exemption certificate management, and cross-border compliance for businesses, with deep integrations into e-commerce and ERP platforms. Founded in 2004 and headquartered in Durham, North Carolina, it is privately held and owned by Vista Equity Partners. The company sells SaaS subscriptions and managed filing services to help organizations comply with U.S. sales tax and international VAT/GST requirements.

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