4 ai implementation engineer jobs at 4 companies in Elyria, OH
🚀PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
Chicago or Hartford or Nashville or Costa Mesa or San Jose or Atlanta or Boston or Cleveland or Columbus or Dallas or Denver or Fort Lauderdale or Grand Rapids or Indianapolis or Los Angeles or Miami or New York or Oakbrook Terrace or Sacramento or San Francisco or South Bend or Tampa or Houston or Austin or Charlotte
$95k-$213k/yrOnsiteFull Time
Crowe: Global professional services firm providing audit, tax, and consulting.
Design, operate, and scale production Kubernetes (AKS) platforms; build Terraform and Crossplane infra-as-code; implement GitOps with FluxCD; create Azure DevOps pipelines; define observability (Azure Monitor, Prometheus, Grafana); bachelor’s degree required.
The NRP Group: Develops, builds, and manages multifamily residential housing communities.
3+ YOE3–5+ years AI implementation, automation engineering; bachelor’s in CS/IT or related field; hands-on with AI workflows and agents; driver license required.
Farmers Branch or Strongsville or Birmingham or Pittsburgh
$75k-$138k/yrOnsiteFull Time
PNC Financial ServicesNYSE: PNC: Provides banking, lending, and investment services to customers.
2+ YOEDevelop and implement Python-based automation and platform solutions with Document AI and GenAI exposure; typically requires a bachelor\u0002s degree and 2+ years of relevant experience.
INSIGHT2PROFIT: A consulting firm providing data engineering, analytics, and professional services to client organizations.
8+ YOEBachelor's degree, 8+ years progressive data engineering experience with hands-on Databricks/Spark and PostgreSQL; experience leading technical teams, using AI-assisted tooling, and implementing data engineering standards.
Databricks/Spark, PostgreSQL, Power BI, Qlik, Tableau, SQL