Senior Software Engineer IV - AI/ML

Avalara APAC; India; On-site; INR 350,000 - 750,000; Full time

Benefits offered by this job

Paid time off

Medical insurance

Job summary

Avalara’s Content Engineering platform supports compliance content across jurisdictions. In this role you will modernize the content lifecycle by building scalable, cloud-native systems that make onboarding new content types faster and more reliable.

A strong emphasis on distributed systems engineering, full-stack development, and practical AI automation will help improve speed, accuracy, and operational efficiency.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• 8+ years of software engineering experience building scalable, distributed production systems.
• Experience with distributed systems design, cloud-native development, and at least one major cloud platform.
• Full-stack engineering across backend services, APIs, databases, and modern web technologies.
• Experience building AI-enabled applications using Python and ML workflows.

Responsibilities

• Build scalable AI-enabled platforms and distributed systems that automate and accelerate the compliance content lifecycle.
• Design reusable platform capabilities, APIs, and cloud-native services that support new compliance content types.
• Improve architecture for scalability, reliability, observability, and efficiency.
• Operationalize AI capabilities using orchestration and AI frameworks to improve automation and speed.
• Establish CI/CD standards and automate deployment and production operations.
• Mentor engineers and raise team capability in distributed systems and responsible AI.

Skills

Distributed systems design

Cloud-native development

Full-stack engineering

Python

AI/ML ops

Mentoring others

Education

Bachelor's degree in Computer Science, Engineering, or a related technical field

Tools

AWS

Azure

GCP

Job description

What You'll Do

Avalara's Content Engineering platform supports the compliance content that helps customers manage complex obligations across jurisdictions and product lines. In this role, you will help modernize the compliance content lifecycle by building scalable, reliable, cloud-native systems that make it faster and easier to onboard new content types. You will apply distributed systems expertise, full-stack engineering, and practical AI automation to improve speed, accuracy, reliability, and operational efficiency. This role sits within the Content Engineering team and reports to the Senior Manager, ML Engineering.

Responsibilities

• Build scalable AI-enabled platforms and distributed systems that automate and accelerate the compliance content lifecycle.
• Design reusable platform capabilities, application programming interfaces, and cloud-native services that support new compliance content types.
• Make architecture decisions that improve scalability, reliability, resiliency, observability, and operational efficiency.
• Operationalize AI capabilities using modern orchestration and agentic frameworks to improve automation, accuracy, and delivery speed.
• Establish engineering standards for continuous integration and delivery, automated testing, deployment automation, and production operations.
• Improve platform performance, latency, throughput, reliability, and cost efficiency at scale.
• Partner with engineering, infrastructure, product, and data teams to deliver measurable customer and business outcomes.
• Apply evaluation, monitoring, and deployment practices that improve AI-enabled system performance in production.
• Mentor engineers and raise team capability in distributed systems, cloud engineering, software architecture, and responsible AI adoption.
• Create reusable engineering patterns that improve long-term scalability and delivery effectiveness.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• 8+ years of software engineering experience building scalable, distributed production systems.
• Strong experience with distributed systems design, system architecture, cloud-native development, and at least one major cloud platform such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform.
• Full-stack engineering experience across backend services, application programming interfaces, relational databases, scalable data access patterns, and modern web technologies.
• Experience building AI-enabled applications using Python, modern AI frameworks, and machine learning operations practices such as evaluation, monitoring, and deployment workflows.
• High ownership and a track record of improving engineering quality, mentoring others, and using AI responsibly to drive measurable gains in speed, quality, automation, and business impact.

Benefits

• Great compensation package, paid time off, paid parental leave, and eligibility for bonuses.
• Private medical, life, and disability insurance (benefits vary by location).

Culture and Inclusion

Avalara strongly supports diversity, equity, and inclusion, and is committed to integrating them into our business practices and organizational culture. We have 8 employee-run resource groups, each with senior leadership and executive sponsorship.

Equal Opportunity Employer

Supporting diversity and inclusion is a cornerstone of our company — we don’t want people to fit into our culture, but to enrich it. All qualified candidates will receive consideration for employment without regard to race, color, creed, religion, age, gender, national orientation, disability, sexual orientation, US Veteran status, or any other factor protected by law. If you require any reasonable adjustments during the recruitment process, please let us know.