Machine Learning Engineer V
Avalara
$231,600–$382,200
Jul 7, 2026
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Jul 20, 2026
What this job asks for AI summary
A senior individual contributor role focused on building and operating the foundational platform that powers Avalara's agentic AI products, including its Aviator assistant. Day-to-day work spans designing LLM orchestration frameworks, agent workflows, and evaluation systems, then hardening them to enterprise production standards. Suits an experienced engineer with hands-on background shipping agentic or LLM-based systems at scale, who can also mentor peers and shape technical direction.
Senior level · 8+ years · Remote · Bachelor's required · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 2 times — it's one opening, so apply once.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 12,200 people nationally plausibly meet what this posting asks for (software developers). range 7,300–21,900
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $138,970 (middle half $107,524–$175,762).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (7)
The title 'Agentic and Machine Learning Engineer V' carries a numeric level (V) but Avalara's internal leveling does not map cleanly to the standard Junior/Mid/Senior/Staff/Principal ladder; the requirements (8+ years, enterprise-scale distributed systems, mentoring, cross-team technical direction) support Senior as the appropriate band.
Python is listed in the requirements section with 'strong preference' language rather than a hard gate, but it sits firmly within the required qualifications block and is the only language named — treated as required.
Cloud platform (AWS, Azure, or GCP) is explicitly required; AWS is listed first with the others as named alternatives.
Specific LLM model families (GPT, Claude, Llama) are named as examples within the requirements block; they represent interchangeable options for the same underlying LLM experience requirement, so they are captured as a single preferred skill with alternatives rather than separate hard gates — the hard gate is the broader LLM experience requirement.
MCP (Model Context Protocol) and retrieval/RAG patterns appear in the requirements section but are framed as 'applied familiarity' — a softer gate; listed as preferred accordingly.
No compensation figures are disclosed in the posting.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
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