AI Engineer - 12+ Years of Profiles
Syncreon Consulting · Bellevue, WA
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Jul 16, 2026
Bellevue, WA
Jul 21, 2026
What this job asks for AI summary
This role centres on building and shipping production-grade AI systems, primarily LLM-powered applications such as agentic workflows, RAG pipelines, and prompt pipelines. The work spans designing and deploying these systems to cloud infrastructure, integrating external model APIs, establishing evaluation and observability pipelines, and owning data processing for retrieval and fine-tuning. Snowflake and Databricks experience is required, and prior employment at a major tech firm is specified.
Senior level · National
“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
Rare in this occupation — lead with these, and say what you built with them.
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 (5)
The posting is from a staffing/recruiting firm (vtekis) and does not identify the end-client or the actual employer.
A highly unusual hard gate is stated: candidates must have prior experience working at Amazon, Apple, Facebook, Netflix, or Google. This cannot be captured in the skills schema but is a significant screening criterion.
Snowflake and Databricks are explicitly called out as 'must have' in the body of the posting.
No compensation, employment type, or experience-year figures are stated anywhere in the posting.
The role spans both production software engineering (API packaging, cloud deployment, scalability) and data/AI science (LLMs, RAG, fine-tuning, evaluation pipelines), making it a genuine hybrid; 15-2051 Data Scientists is a reasonable runner-up.
Read the full posting
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