266 ai evaluation engineer jobs at 158 companies in California
2mo
Save
Mark Applied
Hide
2mo
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.
Distyl AI: Builds AI-native orchestration platforms for enterprise operations.
2+ YOE2+ years software engineering, strong Python, experience with evaluation- or experiment-driven development, ability to encode human judgment into tests/graders, systems-oriented mindset, and willingness to travel 10–50%.
AI Engineer – Algorithm Evaluation & Agentic Systems
Sunnyvale, California, United States
OnsiteFull Time
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Experience evaluating AI algorithms and designing agentic systems, with system-level reasoning, metric definition, engineering rigor, and clear technical communication.
ServiceNowNYSE: NOW: Provides a cloud platform for automating enterprise digital workflows.
Proven leadership of large AI or platform engineering teams, deep expertise in AI evaluation methodologies, production evaluation platforms, strong communication, and hands-on experience with PyTorch or TensorFlow.
LogicMonitor: Provides AI-powered hybrid observability for enterprise IT infrastructure.
5+ YOE5+ years in software engineering, machine learning, or applied AI; strong Python skills; experience with AI evaluation, LLMs, agents, retrieval-augmented generation, testing, monitoring, and CI/CD.
Senior Lead AI Engineer (SDK's: Gen AI Evaluation and MCP)
McLean or San Francisco or New York City or San Jose or Cambridge
$230k-$286k/yrOnsiteFull Time
Capital OneNYSE: COF: Provides credit card, banking, and auto loan services.
4+ YOEBachelor's plus 6 years or master's plus 4 years in AI/ML development; 6 years programming in Python, Go, Scala, or Java; experience building scalable AI systems and leading engineering teams.
Pronoia Energy: Developing room-temperature macroscopic quantum energy storage technology.
Proven production experience shipping agent or tool-use systems, experience self-hosting open-weights models on GPUs, strong orchestration/serving/evaluation skills, and habit of treating hallucination as engineering problem.
Nuna: Provides data analytics and software for value-based healthcare solutions.
Significant production systems experience; expertise evaluating AI systems, agentic tooling, adversarial testing, statistics, experimental design, and functional UI development for non-engineers.
Magic Patterns: AI-powered platform for rapid software prototyping and design.
Experience using AI tools, working with AI models or agents, and building evaluation systems, post-training, or context engineering; strong first-principles problem-solving skills.
Mira Mace: AI-powered healthcare advocacy and navigation for Medicare beneficiaries.
Experience building and shipping LLM-powered systems or agents, strong AI fluency (prompting, retrieval, evaluation), production monitoring, and solid software engineering practices.
Abby Care: Trains and pays family members to provide home care.
2+ YOE2+ years professional software/ML or applied AI experience, strong software engineering, experience with language models/AI APIs, backend and data pipeline skills, ability to evaluate models and work with healthcare workflows.
AI Fund: Builds and invests in artificial intelligence startups.
3+ YOERequires 3+ years of software engineering experience, production LLM systems experience, strong Python and/or TypeScript/Node skills, and experience with LLM APIs, agentic workflows, evaluation, and end-to-end services.
Artos: AI-powered document authoring platform for life sciences R&D.
2+ YOE2+ years building and deploying AI/ML applications, hands-on LLM experience, backend engineering with Python, API development (FastAPI/Django), cloud container deployment, R&D on model capabilities, and evaluation tooling experience.
Sony Interactive EntertainmentTokyo Stock Exchange: 6758: Develops and publishes PlayStation gaming hardware, software, and services.
2+ YOEBachelor's degree or equivalent practical experience, 2+ years of software engineering experience, applied AI experience, Python or Java, AWS, retrieval systems, AI orchestration, evaluation, and strong communication skills.
Senior Lead AI Engineer (SDK's: Gen AI Evaluation and MCP)
McLean or San Francisco or New York City or San Jose or Cambridge
$230k-$286k/yrOnsiteFull Time
Capital OneNYSE: COF: A diversified financial services providing banking and credit products.
6+ YOEBachelor's degree plus 6 years or master's degree plus 4 years in AI/ML; 6 years programming with Python, Go, Scala, or Java; cloud AI deployment and team leadership preferred.
Senior Lead AI Engineer (SDK's: Gen AI Evaluation and MCP)
McLean or San Francisco or Cambridge or San Jose or New York City
$230k-$286k/yrOnsiteFull Time
Capital OneNYSE: COF: Financial services offering credit cards, banking, and loans.
6+ YOEBachelor's plus 6+ years (or Master's plus 4+ years) developing AI/ML systems; strong programming (Python, Go, Scala, Java); cloud AI deployment experience; leadership and research application skills.
Polymr: AI-native procurement and manufacturing workflow automation platform.
Experience building document ingestion/extraction, agentic workflows, and evaluation harnesses; familiarity with AI coding tools and working closely with customers.
MaintainX: Provides mobile-first software for maintenance and asset management.
Applied GenAI experience with prompt engineering, structured outputs, RAG, evaluation datasets, production LLM features, multimodal inputs, and model quality, cost, and latency optimization.
NubankNYSE: NU: Digital financial platform offering banking, credit, and investment services.
Proven experience shipping LLM-powered systems in production; strong prompt/context engineering, evaluation and guardrail development, and software engineering skills (Python/TypeScript/Clojure).
Python, TypeScript, Clojure, n8n, Zapier, AWS, Claude Code, Cursor, Copilot, Slack, Google Workspace, Jira, Terraform, RAG, MCP
Fluency: Automates enterprise process mapping and documentation with artificial intelligence.
Hands-on experience building LLM-powered features; production engineering in TypeScript/Node and/or Python; experience with multiple LLM providers; strong prompt engineering, retrieval and evaluation; track record of evaluation systems; solid software engineering.