Overview
We are looking for accomplished Machine Learning Engineers with a background in software development and a deep enthusiasm for solving complex problems. You will lead a dynamic team dedicated to designing and implementing a large language model framework to power diverse applications across Avalara. Your responsibilities will span the entire development lifecycle, including conceptualization, prototyping, development, and delivery of the LLM platform features. You will build core agent infrastructure—A2A orchestration and MCP-driven tool discovery—so teams can launch secure, scalable agent workflows. You will be reporting to Senior Manager, ML Engineering.
What Your Responsibilities Will Be:We are looking for engineers who can think quick and have a background in implementation. Your responsibilities will include:
Build on top of the foundational framework for supporting Large Language Model Applications at Avalara
Experience with LLMs - like GPT, Claude, LLama and other Bedrock models
Leverage best practices in software development, including Continuous Integration/Continuous Deployment (CI/CD) along with appropriate functional and unit testing in place.
Drive innovation by researching and applying the latest technologies and methodologies in machine learning and software development.
Write, review, and maintain high-quality code that meets industry standards, contributing to the project's technical expertise.
Lead code review sessions, ensuring good code quality and documentation.
Mentor junior engineers, promoting a culture of collaboration and Engineering expertise.
Proficiency in developing and debugging software with a preference for Python, though familiarity with additional programming languages is valued and encouraged.
6+ years of experience building Machine Learning models and deploying them in production environments as part of creating solutions to complex customer problems.
Proficiency working in cloud computing environments (AWS, Azure, GCP), Machine Learning frameworks, and software development best practices.
Demonstrated experience staying current with breakthroughs in AI/ML, with a focus on GenAI.
Experience with design patterns and data structures.
Technologies you will work with:
- Python, LLMs, Agents, A2A, MCP, MLFlow, Docker, Kubernetes, Terraform, AWS, GitLab, Postgres, Prometheus, and Grafana
We are the AI & ML enablement group in Avalara.
We empower Avalara's Product and Engineering teams with the latest AI & ML capabilities, driving easy-to-use, automated compliance solutions that position Avalara as the industry AI technology leader and the go-to choice for all compliance needs.
#LI-Remote
This is a remote position.
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.
Health & Wellness
Benefits vary by location but generally include private medical, life, and disability insurance.
Inclusive culture and diversity
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’ve already built an industry-leading cloud compliance platform, processing nearly 40 billion customer API calls and over 5 million tax returns a year, and this year we became a billion-dollar business. Our growth is real, 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. Ownership and achievement go hand in hand here. We instill passion in our people through the trust we place in them.
We’ve been different from day one. Join us, and your career will be too.
We’re An Equal Opportunity Employer
- Bangalore, Karnataka, India
- 500000 - 700000 Indian Rupee - Yearly
- Pune, Maharashtra, India
- Bangalore, Karnataka, India
- Bangalore, Karnataka, India
- 1000000 - 1400000 Indian Rupee - Yearly
- Pune, Maharashtra, India
- Bangalore, Karnataka, India
- Pune, Maharashtra, India
- Pune, Maharashtra, India