15 ai evaluation engineer jobs at 14 companies in Fontana, CA
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AI Evaluation Engineer
Bucharest or Boulder or Boston or Chicago or Glendora or Richmond or London or Auckland
lei16k-lei19k/moHybridFull Time
Yes Energy: Provides real-time electric power market data and trading analytics.
5+ YOEBachelor's in CS/Data/Math, 5+ years software engineering with focus on testing/evaluation or AI/ML tooling, strong Python, experience building evaluation pipelines and LLM eval concepts, familiarity with RAG and production data pipelines.
San Francisco or Los Angeles or Washington or San Diego or Seattle or London
$150k-$170k/yrHybridFull Time
CHAOS Industries: Develops advanced radar and sensing systems for modern defense.
2+ YOEBachelor's or master's degree in a technical field, 2+ years of software development, strong Python, production systems, AI/ML integration, model evaluation, and familiarity with APIs, distributed systems, containers, CI/CD, observability, and edge deployment.
United States or New York City or Palm Beach or Los Angeles or Miami or Greenwich or Westchester County or The Hamptons or San Francisco or Manhattan
$190k-$250k/yrRemoteFull Time
Atria Health Institute: Membership-based concierge practice providing preventive, precision-based medical care.
4+ YOE4+ years building and operating LLM-powered production ML systems, strong Python, backend framework experience (FastAPI/Flask), LLM orchestration and retrieval design, Snowflake/dbt/Dagster/Airflow familiarity, evaluation systems, HIPAA/PHI knowledge, and strong written communication.
SAPFrankfurt Stock Exchange: SAP: Sells enterprise resource planning and business management software solutions.
6+ YOEBS/MS/PhD in CS or related field; 6+ years shipping ML systems with 3+ years hands-on LLM/agent production experience; expert Python, PyTorch, inference optimization, agent frameworks, evaluation and observability.
Hyundai Capital: Provides automotive financing and leasing for Hyundai Motor Group.
8+ YOEDesign and deploy production AI agents using LLMs, build prompt systems and tool orchestration, evaluate agent behavior, integrate with enterprise systems; strong Python and agent-framework experience required.
San Francisco or Los Angeles or Washington or San Diego or Seattle or London
$150k-$170k/yrHybridFull Time
CHAOS Industries: Develops advanced radar and sensing systems for modern defense.
2+ YOEBS/MS in a technical field, 2+ years of software development, strong Python, production systems, AI/ML integration, model evaluation, and familiarity with APIs, distributed systems, containers, CI/CD, observability, and edge deployment.
Information Technology - Principal Platform Engineer, Enterprise AI Enablement
Vancouver or Seattle or Toronto or New York City or Los Angeles
OnsiteFull Time
AritziaToronto Stock Exchange: ATZ: Designs and sells everyday luxury women's clothing and accessories.
Deep enterprise AI and platform architecture experience, LLMOps/MLOps, AI guardrails and observability, vector DBs and data orchestration, vendor evaluation, and cross-functional leadership for enterprise AI enablement.
Azure AI Studio, AWS Bedrock, Google Cloud Vertex AI, LLMOps, MLOps, RAG
San Jose or Los Angeles or Singapore or New York City or London or Dublin or Paris or Berlin or Dubai or Jakarta or Seoul or Tokyo
$186k-$374k/yrOnsiteFull Time
TikTok: Global short-form video hosting and social media platform.
5+ YOEBachelor's degree in a quantitative field and 5+ years in AI/ML evaluation, model quality, trust and safety, or data-driven product management; SQL, LLM, prompt engineering, and Chinese fluency required.
San Francisco or Chicago or Denver or Los Angeles or Phoenix
$125k-$186k/yrOnsiteFull Time
PrologisNYSE: PLD: Publicly traded logistics real estate REIT owning and managing warehouses and infrastructure for global supply-chain customers.
8+ YOERequires 8+ years of software engineering experience, expert Python, strong AWS and data skills, LLM evaluation and agentic systems experience, communication ability, and a bachelor's degree in computer science or engineering.
Anduril Industries: Defense technology building autonomous military hardware and software.
5+ YOERequires 5+ years of software engineering, production AI delivery, Python proficiency, LLM optimization, evaluation and observability experience, and eligibility for Secret or higher US security clearance.
Frisco or New York City or Toronto or Ann Arbor or Eagan or San Francisco or Los Angeles or Irvine or McLean or Washington
$95k-$176k/yrHybridFull Time
Thomson ReutersNASDAQ: TRI: Provides professional software, data, and news services globally.
5+ YOEJD or formal legal training (or equivalent experience),5+ years software engineering,proficiency in Python,AI/LLM evaluation and prompt engineering,ability to engage legal users and mentor engineers,experience delivering production-grade SaaS solutions.
New York or Boston or Los Angeles or Chicago or Washington
$220k-$250k/yrHybridFull Time
Latham & Watkins: Global law firm providing legal services for complex corporate matters.
3+ YOEJ.D. required; 3+ years substantive legal practice and 2+ years legal engineering experience. Experience authoring prompts and working with JSON/JSON Schema/YAML/Markdown and evaluating AI outputs.
Content Automation and GenAI - Consulting and Delivery Manager
New York City or Milwaukee or Herndon or Dallas or Columbus or Kirkland or Irvine or Cincinnati or Cleveland or Oklahoma City or Austin or Albany or Chicago or Arlington or St. Petersburg or Hartford or Pittsburgh or St. Louis or Miami or Sacramento or Raleigh or Minneapolis or Mountain View or Scottsdale or Morristown or San Francisco or Denver or Boston or Philadelphia or Des Moines or Overland Park or Los Angeles or Charlotte or Walnut Creek or Carmel or Seattle or Houston or Atlanta or Redmond or Bentonville or Beaverton or Nashville or Detroit or San Diego
$80k-$266k/yrOnsiteFull Time
AccentureNYSE: ACN: Global provider of management consulting and technology services.
7+ YOE7+ years client-facing consulting or digital transformation experience; hands-on experience evaluating/applying content automation or GenAI tools and delivering GenAI POCs; strong understanding of LLM concepts, prompt engineering, safety/responsible AI, content operations, and team leadership.