247 applied ai engineer jobs at 154 companies in Fairfax, CA
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Applied AI Engineer
San Francisco, California, United States
HybridFull Time
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.
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.
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.
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.
Soulside AI: AI-powered documentation platform for behavioral health organizations.
3+ YOE3+ years in applied ML/AI engineering or a related master's degree, with production LLM experience, open-source model fine-tuning, evaluation frameworks, Python, and modern ML tooling.
Roger Healthcare: AI clinical documentation platform for home health clinicians.
7+ YOE7+ years software engineering with AI/ML depth, experience training/fine-tuning LLMs, shipping AI products, strong eval/observability skills, agentic systems experience, and product/startup mindset.
NinjaTech AI: Developing autonomous AI agents for complex professional task automation.
Experienced engineer proficient in Python and one of TypeScript/JavaScript/Java/Go, with data fluency, enterprise integration skills, security-savvy mindset, and ability to travel (~25%).
Wordware: Building an AI-powered agentic workspace for knowledge work.
3+ YOE3+ years engineering experience, shipped production software, built/deployed multi-step agent or tool-using systems, experience with agent orchestration, memory management, evals, and US work authorization; Bay Area relocation required.
SnowflakeNYSE: SNOW: Cloud-based platform for data storage, processing, and analytics.
3+ YOEBachelor's in CS/Engineering or equivalent; 3+ years software engineering; travel; experience with LLMs and evals; strong problem-solving and communication; adaptable in AI environment.
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.
Mountain View or St. Louis or Philadelphia or Houston or Bentonville or Columbus or Overland Park or Scottsdale or Cleveland or Detroit or Morristown or Raleigh or Des Moines or Oklahoma City or Miami or Minneapolis or Chicago or San Francisco or Cincinnati or New York or Dallas or San Diego or Denver or Albany or Hartford or Sacramento or Arlington or Redmond or Los Angeles or Pittsburgh or St. Petersburg or Milwaukee or Beaverton or Carmel or Walnut Creek or Seattle or Boston or Charlotte or Kirkland or Atlanta or Austin or Nashville
$80k-$294k/yrHybridFull Time
AccentureNYSE: ACN: Global provider of management consulting and technology services.
5+ YOE3+ MgmtRequires 5+ years in engineering and technical customer-facing roles, 3+ years in AI engineering and team management, 1+ year building Claude/Codex AI systems, and a bachelor's degree or equivalent.
Claude, Codex, Antigravity, Gemini, Python, Java, C, Go, Model Context Protocol (MCP), CI/CD, Electronic Medical Records (EMR)
NewsBreak: Local news aggregation platform powered by artificial intelligence.
Bachelor's in CS/AI/Data Science required. Experience building and deploying LLM-based agentic systems, ML fundamentals, REST/API integration, and Kubernetes. Strong software-engineering, analytical, and problem-solving skills; ad delivery or recommendation experience preferred.
LLMs, Multimodal Foundation Models, RAG, REST, API, Kubernetes
OpenAI: Develops artificial intelligence models and generative AI software services.
4+ YOE4+ years building reliable production systems, experience with AI agents/LLM applications, evaluation and experimentation, strong backend engineering (Python, APIs, data pipelines), and cross-functional collaboration.
Orum: AI sales platform for automated calling and conversation insights.
7+ YOE7+ years software engineering with strong hands-on AI/ML; proven production AI/ML; experience with ML pipelines, LLMs, prompting, RAG, embeddings, and agents; scalable AI system design; data pipelines and large-scale data systems; independent technical direction; customer-impact mindset.
Python, LLMs, ML pipelines, Data pipelines, AI and ML tooling, Prompts, RAG, Embeddings, Agents, BigQuery, ClickHouse
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.
Arcade: Design and buy custom physical products using generative AI.
8+ YOE8+ years building and shipping production ML systems; systems thinking for pipelines, training, serving, and evaluation; strong Python, Linux, PyTorch/TensorFlow; cloud deployment and large-scale data handling.
NextClerk: Automated revenue and billing software for subscription businesses.
5+ YOERequires 5+ years of software or ML engineering experience, strong Python, and experience with production AI, LLM APIs, embeddings, retrieval, document extraction, SQL, APIs, backend services, and deployment.