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Remote senior ML role at a known SaaS firm with niche LLM specialization reduces mass applicant density.
Highly domain-specific ML, agentic systems, LLM, and production integration experience limits cross-industry transferability.
Strict seniority and deep production LLM, cloud, and full-stack requirements create rigid screening filters.
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.
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.
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.