Applied AI Engineer at Jobgether
$150,000–$200,000from the description
Jul 13, 2026
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Jul 21, 2026
What this job asks for AI summary
This role centers on building and maintaining production-grade AI systems, including agentic workflows, retrieval-augmented generation architectures, and LLM-powered product features. The engineer will also own backend services, evaluation frameworks, and observability tooling that keep those systems reliable and cost-efficient. It suits an experienced software engineer with hands-on AI development background who is comfortable taking broad ownership across the full stack of a deployed AI product.
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 6,900 people nationally plausibly meet what this posting asks for (software developers). range 4,150–10,300
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
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). 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 (8)
The title 'Applied AI Engineer' carries no explicit seniority level, so the title states no level; the 5+ years requirement and production-system ownership scope support a Senior classification.
AWS is listed as required but 'preferably AWS', indicating cloud experience is a hard gate while AWS is the strongly preferred platform — alternatives (Azure, GCP) are noted accordingly.
SQL and NoSQL are presented as an 'and/or' pair in the requirements section; SQL is listed as primary with NoSQL as an alternative.
The specific AWS services (Bedrock, Lambda, Step Functions, S3, DynamoDB, RDS, SQS, EventBridge) and AI orchestration frameworks (LangGraph, LangChain, DSPy, Semantic Kernel) appear under 'Preferred qualifications' and are marked accordingly.
Vector database / semantic retrieval technologies (OpenSearch, pgvector, Pinecone, Weaviate, FAISS) are listed under 'Preferred qualifications'; OpenSearch is used as the primary name with the others as alternatives.
No degree requirement is stated anywhere in the posting.
The posting is listed via Jobgether on behalf of an unnamed partner company; the actual employer is not disclosed.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
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