remote

Salary
$219,245–$290,000
Posted
Jul 5, 2026
Location
Last confirmed open
Jul 21, 2026

What this job asks for AI summary

A senior individual-contributor and technical leadership role focused on architecting and building production-grade Generative AI and agentic systems for client engagements. Day-to-day work spans hands-on development — fine-tuning foundation models, designing multi-agent reasoning pipelines, and building RAG and semantic search systems on Google Cloud — alongside client-facing responsibilities such as shaping AI strategy with executive stakeholders and contributing to pre-sales. Suits an experienced AI/ML engineer with a strong software engineering foundation and a track record of taking complex AI systems all the way to production.

Senior level · 10+ years · Remote · Full-time

Advertised as Principal, but the requirements read as Senior.

Must have (12)
PythonGoogle CloudVertex AILLMsGoogle Gemini, Gpt 4 or LlamaLangChain or LlamaindexRAGagentic systemsfine-tuningSQLshell scriptingMLOps
Nice to have (1)
machine learning

“or” means any one of them counts — you don't need all of them.

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 1,850 people nationally plausibly meet what this posting asks for (software developers). range 550–3,350

Applicant volume Light — Few people clear these requirements, so an application that does clear them gets looked at. Worth applying to even if you miss a nice-to-have.

What gives you an edge
Vertex AI3%LangChain6%RAG8%MLOps8%Google Gemini12%Google Cloud13%

Rare in this occupation — lead with these, and say what you built with them.

What won't set you apart
Python51%SQL51%

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 posting is titled 'Principal AI Engineer' but the actual requirements — 10+ years of experience, hands-on technical leadership across engagements, client-facing seniority — are consistent with a Senior-level role at most organizations. 'Principal' at a consultancy of this size typically maps to what the broader market calls Senior; the seniority band is set to Senior accordingly.

SOC classification is Medium confidence: the role is primarily hands-on software/AI engineering (15-1252), but the heavy ML/modeling emphasis (fine-tuning, foundation models, embeddings) makes 15-2051 Data Scientists a plausible runner-up.

The degree requirement states 'Bachelor's or Master's degree … or a related technical field' but the broader context and the 10+ years experience gate suggest equivalent experience would be accepted; the degree requirement is set to None.

No compensation figures are provided in the posting.

Classic machine learning experience is listed under Basic Qualifications but framed as 'strongly preferred' and 'a distinct plus,' so it is marked as preferred rather than required.

Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): Vertex AI Vector Search.

Caller marked this a fully-remote role — scored against the national candidate pool.

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