3 ai application developer jobs at 3 companies in Seaside, 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.
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Help us build a 100× better job search engine. We need a full-stack engineer with great taste, sharp fundamentals, and a track record of shipping polished product on React/Next.js plus a real backend (Firebase, Elasticsearch, Redis, Stripe).
AI Application Development Specialist - Digital Content & Technology
Ashburn or Austin or Charleston or Dallas or Omaha or Sacramento or San Diego or San Francisco or San Jose or Santa Cruz or The Dalles or Washington, D.C.
$160k-$200k/yrRemoteFull Time
CBRENYSE: CBRE: Provides global commercial real estate services and investment management.
10+ YOE10-15 years experience preferred; strong Python and prototyping skills; experience with Google AI Studio, Google Gemini Canvas, API integration, Microsoft Office; strong problem solving, math, and communication skills.
Google AI Studio, Google Gemini Canvas, Python, JavaScript, API, Microsoft Word, Microsoft Excel, Microsoft Outlook, Google Suite
TrueNAS: Develops open source enterprise storage and data management platforms
7+ YOESenior DevOps/Full‑stack engineer with 7+ years building production applications and integrations, experience with AI/LLM agents (Anthropic Claude, Google Gemini), Python, JavaScript/TypeScript, Node.js, REST APIs, Docker, CI/CD, and enterprise systems.
Anthropic Claude, Google Gemini, SAP S/4HANA Cloud Public, SAP Business ByDesign, SAP Concur, Salesforce, Google Workspace, Zoom, Slack, Jira, GitHub, Python, JavaScript/TypeScript, Node.js, React, Vue, RESTful APIs, Docker, CI/CD, Git, AI MCP, iPaaS
GraniteNYSE: GVA: Constructing heavy civil infrastructure and manufacturing building materials.
2+ YOEBachelor's in a quantitative field (or equivalent experience), 2+ years in software development, data analytics, or AI, production-ready app delivery, strong data analytics and communication skills.