Lead Machine Learning Engineer - AI

As an accomplished Machine Learning Engineer at Avalara, you will be leading a team dedicated to designing and implementing a large language model framework to power diverse applications. Your responsibilities will cover the entire development lifecycle, from conceptualization to delivery of the LLM platform features. You will be instrumental in building core agent infrastructure A2A orchestration and MCP-driven tool discovery for secure and scalable agent workflows. Reporting to the Senior Manager, ML Engineering, you will be at the forefront of innovation in machine learning and software development.

• 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) with appropriate functional and unit testing
• Drive innovation by researching and applying the latest technologies and methodologies in machine learning and software development
• Write, review, and maintain high-quality code meeting industry standards
• Lead code review sessions to ensure good code quality and documentation
• Mentor junior engineers to promote collaboration and Engineering expertise
• Proficiency in developing and debugging software, with a preference for Python, and familiarity with additional programming languages

To be successful in this role, you will need:

• 6+ years of experience building Machine Learning models and deploying them in production environments
• Proficiency in cloud computing environments (AWS, Azure, GCP), Machine Learning frameworks, and software development best practices
• Demonstrated experience in staying current with breakthroughs in AI/ML, with a focus on GenAI
• Experience with design patterns and data structures

Technologies you will work with include:

• Python
• LLMs
• Agents
• A2A
• MCP
• MLFlow
• Docker
• Kubernetes
• Terraform
• AWS
• GitLab
• Postgres
• Prometheus
• Grafana As an accomplished Machine Learning Engineer at Avalara, you will be leading a team dedicated to designing and implementing a large language model framework to power diverse applications. Your responsibilities will cover the entire development lifecycle, from conceptualization to delivery of the LLM platform features. You will be instrumental in building core agent infrastructure A2A orchestration and MCP-driven tool discovery for secure and scalable agent workflows. Reporting to the Senior Manager, ML Engineering, you will be at the forefront of innovation in machine learning and software development.
• 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) with appropriate functional and unit testing
• Drive innovation by researching and applying the latest technologies and methodologies in machine learning and software development
• Write, review, and maintain high-quality code meeting industry standards
• Lead code review sessions to ensure good code quality and documentation
• Mentor junior engineers to promote collaboration and Engineering expertise
• Proficiency in developing and debugging software, with a preference for Python, and familiarity with additional programming languages

To be successful in this role, you will need:

• 6+ years of experience building Machine Learning models and deploying them in production environments
• Proficiency in cloud computing environments (AWS, Azure, GCP), Machine Learning frameworks, and software development best practices
• Demonstrated experience in staying current with breakthroughs in AI/ML, with a focus on GenAI
• Experience with design patterns and data structures

Technologies you will work with include:

• Python
• LLMs
• Agents
• A2A
• MCP
• MLFlow
• Docker
• Kubernetes
• Terraform
• AWS
• GitLab
• Postgres
• Prometheus
• Grafana