10 ai deployment engineer jobs at 9 companies in Temecula, CA
🚀PromotedHiringCafe
ML Engineer - Inference & Model Deployment
Cupertino, CA, US
$250k-$310k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Turn powerful AI and ML models into fast, reliable production systems. Own inference latency, throughput, model-serving architecture, multi-GPU systems, and production deployment for millions of users.
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.
PDS Health: Provides business and administrative support services to dental practices.
8+ YOE8+ years AI/ML engineering or MLOps experience, bachelor's in CS/Engineering or +5 years experience, certifications in cloud ML, expertise in model deployment, MLOps, security and regulatory compliance.
Commercial Bank of California: A private business bank providing personalized financial and lending services
7+ YOE7+ years AI/ML experience (10+ IT experience preferred), Bachelor’s in CS/Engineering/Math/Data Science/IS, expertise with Azure AI Foundry, LLMs, Python, SQL, MLOps, containerization, and production deployment.
Exante360: A technology design and consulting firm that provides ICT and low-voltage systems design and software solutions.
5+ YOE5+ years software development, bachelor\u0002s in engineering/computer science or equivalent, full-stack development (backend and frontend), QA automation experience, experience with APIs, databases, deployments, and use of AI coding tools.
Appex Innovation: Provides AI-driven software solutions for healthcare revenue and management.
8+ YOE8+ years in AI/ML, data science, or software engineering; strong Python backend development; hands-on LLM and generative AI, agent-based systems, RAG/vector DBs, API development; AWS, CI/CD, observability, and production ML deployment experience.
Agentic AI Architect - Intelligence Engineering (West)
Denver or East Bay or Los Angeles or Orange County or Phoenix or Portland or Salt Lake City or San Diego or San Francisco or Seattle or Silicon Valley
$108k-$237k/yrHybridFull Time
Slalom: Provides business and technology consulting and software engineering services.
5+ YOE5+ years software engineering experience with 2+ years on generative/agentic AI, multi-agent system design, RAG architectures, cloud AI platform deployment, Python proficiency, and strong communication skills.
Python, FastAPI, Flask, Lang Graph, Strands Agents SDK, OpenAI Agents SDK, Google ADK, LangSmith, Model Context Protocol (MCP), AWS Bedrock, Azure AI Foundry, OpenAI Service, GCP Vertex AI, Gemini, Databricks, Claude Code, Cursor, Kiro, RAGAS, DeepEval
Field AI: Develops autonomous software brains for robots in unstructured environments.
4+ YOEBachelor's or Master's in CS/AI/Statistics or related, 4+ years industry ML experience, proficiency in Python and PyTorch/TensorFlow/JAX, C++ for deployment, deep learning and navigation stack knowledge, production deployment experience.
10+ YOEBachelor's degree or equivalent experience,10+ years cloud-native architecture experience,customer-facing engagement,cloud/on-prem engineering,programming and ML model deployment expertise.
PIMCO: Global investment management firm specializing in fixed income strategies.
Bachelor's degree in a technical/quantitative field required; proven experience leading enterprise-scale AI deployments, translating business workflows into AI solutions, partnering with engineering, and driving adoption across non-technical teams.
New York City or Chicago or Boston or Seattle or Dallas or Irvine or Atlanta or Indianapolis or McLean or San Francisco
$261k-$349k/yrHybridFull Time
SalesforceNYSE: CRM: Sells cloud-based customer relationship management and business software solutions.
10+ YOE5+ Mgmt10+ years in enterprise software/SaaS with 5+ years leading technical organizations; expertise in AI/LLM deployments, enterprise architecture, consumption models, and executive engagement.
Hyundai Capital: Provides automotive financing and insurance services for vehicle customers.
8+ YOE8+ years solution architecture experience with 3+ years in ML/LLM systems; expertise in LLM selection, RAG, multi-agent architectures, model deployment/monitoring, Python/Rust, AI SDKs, cloud and MLOps practices; Bachelor's degree required.
Python, Rust, AI SDKs, CI/CD, APIs, model registry, feature stores, vector database, MLOps, cloud platforms