Machine Learning Engineer V
Avalara (company site, opens in a new tab)12+ yrsRemoteDirect career pageEst. 40–70 LPA
Posted on 18 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead architecture and delivery of enterprise-grade agentic AI applications integrated into Avalara products and platforms.
- Build and operate full-stack AI-enabled systems including backend services, APIs, agent orchestration, deployment, monitoring, and production support.
- Drive design decisions for scalable, secure, maintainable, cloud-native AI systems and mentor engineers on system architecture and production AI capabilities.
Minimum Requirements
- Bachelor's degree in Computer Science or Engineering.
- 12+ years of experience in software engineering, machine learning engineering, generative AI, enterprise application development, or production AI systems.
- Proficient in Python, cloud-native architecture on major cloud platforms (AWS, Azure, or GCP), and full-stack backend service and API development.
- Experience shipping and supporting production machine learning or AI-enabled enterprise applications beyond prototypes.
Ideal Candidate Profile
- Senior engineer with strong technical leadership in complex distributed AI systems and architecture across multiple stakeholders.
- Experience building and integrating agentic AI applications using large language models, retrieval, agent orchestration, and workflows in enterprise environments.
- Strong background in end-to-end software development lifecycle, production operations, observability, and responsible AI adoption in cloud environments.