Senior Software Engineer IV - AI/ML Remote, India - Engineering

Avalara, Inc.; India; Remote; INR 3,000,000 - 6,000,000; Full time

Job summary

Avalara is seeking an experienced software engineer to help modernize its AI-enabled content lifecycle. You will design and build scalable, cloud-native systems, applying distributed architecture, full-stack development, and practical AI automation to improve speed, accuracy, and reliability across jurisdictions and product lines.

Reporting to the Senior Manager, ML Engineering, you will mentor peers, drive architectural decisions, and champion responsible AI practices in a remote role.

Qualifications

• 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 major cloud platforms (AWS/Azure/GCP).
• Full-stack engineering across backend services, APIs, databases, and modern web technologies.
• Experience building AI-enabled applications using Python and ML ops practices.
• High ownership with mentoring ability and responsible AI practices.

Responsibilities

• Build scalable AI-enabled platforms and distributed systems to automate the content lifecycle.
• Design reusable platform capabilities, APIs, and cloud-native services for new content types.
• Make architecture decisions to improve scalability, reliability, observability, and efficiency.
• Operationalize AI capabilities with orchestration and AI workflows to boost automation and accuracy.
• Establish CI/CD standards, automated testing, deployment automation, and production ops.
• Improve platform performance and cost efficiency at scale.
• Collaborate with cross-functional teams to deliver measurable outcomes.
• Apply monitoring and deployment practices to enhance AI-enabled system performance.

Skills

Distributed systems design

Cloud-native development

Full-stack engineering

Python

AI/ML operations

Mentoring others

Observability

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 Content Engineering team and you will be reporting to Senior Manager, ML Engineering. This is a #LI-Remote role.

What Your Responsibilities Will Be

• 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.

What You'll Need To Be Successful

• 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.

Avalara is an AI-first Company

AI is embedded in our workflows, decision-making, and products. Success here requires embracing AI as an essential capability.

• You'll bring experience using AI and AI-related technologies, ready to thrive here.
• You'll apply AI every day to business challenges - improving efficiency, contributing solutions, and driving results for your team, our company, and our customers.
• You'll grow with AI by staying curious about new trends and best practices, and by sharing what you learn so others can benefit too.

How We'll Take Care Of You

Total Rewards

• In addition to a great compensation package, paid time off, and paid parental leave, many Avalara employees are eligible for bonuses.
• Benefits vary by location but generally include private medical, life, and disability insurance.
• Avalara strongly supports diversity, equity, and inclusion, and is committed to integrating them into our business practices and our organizational culture. We also have a total of 8 employee-run resource groups, each with senior leadership and exec sponsorship.

What You Need To Know About Avalara

We're defining the relationship between tax and tech.

We've already built an industry-leading cloud compliance platform, processing over 54 billion customer API calls and over 6.6 million tax returns a year. Our growth is real - we're a billion dollar business - and we're not slowing down until we've achieved our mission - to be part of every transaction in the world.

We're bright, innovative, and disruptive, like the orange we love to wear. It captures our quirky spirit and optimistic mindset. It shows off the culture we've designed, that empowers our people to win. We've been different from day one. Join us, and your career will be too.

We're An 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.