AI Automation Engineer/ Sr. AI Automation Engineer at Applied Systems, Inc.
UNAVAILABLE
$80,000–$160,000from the description
Jul 22, 2026
UNAVAILABLE
Jul 24, 2026
What this job asks for AI summary
A senior engineering role focused on taking AI proofs of concept built by business units and hardening them into production-ready applications on a shared, governed Google Cloud Platform. Day-to-day work spans building micro-apps, chatbots, and internal tools; designing reusable LLM agents and retrieval pipelines; integrating AI with platforms like Salesforce and Slack; and maintaining CI/CD, monitoring, and automated dependency management. Suits engineers with strong Python and cloud operations experience who are comfortable working directly with non-technical stakeholders.
Senior level · 5+ years · Remote · 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 17,400 people nationally plausibly meet what this posting asks for (software developers). range 5,100–26,100
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). This posting is about at that midpoint.
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 (6)
GCP is listed as preferred ('preferably with GCP') within the required experience block — it is a hard gate on cloud experience generally, with GCP as the preferred flavor; alternatives such as AWS or Azure are implied acceptable substitutes.
The posting explicitly encourages candidates without a degree to apply and makes no degree a hard gate, so the degree requirement is set to None.
LLM-related skills (LLMs, LangSmith/Langfuse/Braintrust, vector databases, Claude) all appear under the 'You may have other skills or credentials' section, marking them as preferred rather than required.
Salesforce/Agentforce, Slack, and NetSuite appear only in the narrative description of work context, not in a requirements section, so they are treated as preferred stack context.
The compensation range ($80,000–$160,000 USD/year) is wide, reflecting the company's stated consideration of depth, breadth, and variety of experience.
Ignored 2 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): secrets management, Vertex AI Vector Search.
Read the full posting
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