4 platform data engineer jobs at 2 companies in Kerman, CA
🚀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.
Concord or Raleigh or New York City or Fairfield or Atlanta or Bellevue or Charlotte or Spokane or Austin or Dallas or Portland or San Francisco or San Diego or Santa Ana or Arvada or Los Angeles or Sacramento or Oakland or Fresno
$120k-$170k/yrHybridFull Time
Swinerton: National commercial construction firm providing building and management services.
3+ YOE3+ years software/AI engineering experience, bachelor’s or master’s in CS/Engineering/Data Science, hands-on experience building and deploying AI-enabled applications, familiarity with LLMs, retrieval, orchestration, and cloud AI platforms.
LangChain, LangGraph, CrewAI, AutoGen, LlamaIndex, MCP, Microsoft Foundry, Databricks
Semios: Providing precision agriculture and farm management software solutions.
10+ YOEBachelor's or Master's in a relevant field, 10+ years product management experience with data platforms, APIs, and SaaS analytics, strong technical fluency in data pipelines and cloud systems, experience with engineering/data science teams.
APIs, SaaS, data pipelines, cloud systems, IoT, geospatial, ML, AI
Semios: Providing precision agriculture and farm management software solutions.
10+ YOEBachelor's (or Master's) in a relevant field; 10+ years product management experience launching data-platform/API/SaaS products; technical fluency with data pipelines and cloud; experience with engineering and data science; IoT/geospatial/ML preferred.
data platforms, APIs, SaaS analytics, data pipelines, cloud systems, IoT, geospatial, ML
Semios: Providing precision agriculture and farm management software solutions.
10+ YOEBachelor's (or Master's) in CS, Agriculture, Agronomy, Engineering or related; 10+ years product management experience with data platforms, APIs and SaaS; technical fluency with data pipelines and cloud; IoT/ML/geospatial preferred.
APIs, SaaS, SaaS analytics, data pipelines, cloud systems, IoT, geospatial, ML