215 applied ai engineer jobs at 138 companies in Vallejo, 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.
Corridor: Secures software codebases using AI-powered autonomous vulnerability detection.
3+ YOE3+ years engineering or ML experience, production shipping experience, hands-on LLM work and evaluation, product-minded and self-directed, experience improving AI systems end-to-end.
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.
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.
New York City or Burbank or New York City or Los Angeles or San Francisco or Colorado or Washington
$139k-$209k/yrOnsiteFull Time
ParamountNASDAQ: PSKY: Global media producing films, television, and streaming content.
7+ YOERequires 7+ years in ML engineering, software engineering, or applied AI; Java, Python, PyTorch/TensorFlow, LLM, RAG, Vertex AI, MLOps, QE automation, and cloud experience.
Java, Python, PyTorch, TensorFlow, Vertex AI, Model Garden, Vertex AI Training, Vertex AI Vector Search, Vertex AI Pipelines, Vertex AI Online Endpoints, BigQuery, Cloud Run, GKE, Pub/Sub, Selenium, Appium, Playwright, pytest, JUnit, TestNG, MLflow, Kubeflow, SageMaker, Databricks, Azure, AWS, GCP, Grafana, Prometheus, OpenTelemetry
Arcade: Infrastructure for AI agents to securely interact with external applications.
5+ YOE5+ years software engineering with at least 2 years shipping production ML or applied‑AI systems; strong Python; LLM application depth; multi-tool/workflow design; scalable evals and statistics; comfortable with frontier models; hands-on shipping mindset.
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)
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
Palo Alto or Atlanta or Washington, D.C. or United States
$160k-$200k/yrHybridFull Time
Quantifind: AI-driven platform for financial risk and fraud detection.
4+ YOEUS citizen, 4+ years professional experience, technical education (post-graduate preferred). Hands-on AI coding and multi-agent workflows; proficiency with Python, JavaScript/React, PostgreSQL; strong communication and client-facing skills.
Claude Code, GPT/Codex, Cursor, Windsurf, Python, JavaScript/React, PostgreSQL, Spark/PySpark, Scala, R
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.
Omnifold: AI-powered forecasting and planning platform for supply chains.
Technical sales/consulting or forward-deployed engineering experience, background in data science or machine learning, experience with enterprise sales cycles, strong project management and communication, proficiency in Python and SQL.