683 applied engineer jobs at 295 companies in San Francisco, CA
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Applied AI Engineer
Canada or San Francisco or Raleigh or Boston
HybridFull Time
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.
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.
Macroscope: Provides AI-powered codebase analysis and automated code reviews.
3+ YOE3+ years applied ML experience; experience building, training, fine-tuning, or evaluating ML models; dataset creation and evaluation; experiment design; familiarity with LLMs and reinforcement learning techniques.
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%).
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.
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.
AMDNASDAQ: AMD: Designs and manufactures computer processors and graphics technology.
Design and build applied AI systems for hardware and software engineering workflows; strong software engineering skills and experience with AI toolchains and validation; bachelor’s degree or equivalent experience required; master’s/PhD preferred.
Adaption: Develops efficient AI systems that adapt in real-time.
4+ YOE4+ years ML or applied research experience, 2+ years customer-facing technical experience, strong software engineering skills, familiarity with PyTorch/JAX/TensorFlow, and excellent communication.
WisdomAI: AI-powered conversational analytics platform for enterprise data teams.
5+ YOE5+ years applied ML/NLP experience, Master's required (PhD preferred), deep LLM and agent experience, production Python and ML framework skills, evaluation and benchmarking expertise.
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.
HUD: Platform for reinforcement learning environments and AI agent evaluations.
Proficiency in Python, Docker, and Linux; experience with benchmarks/evals, strong debugging across code/data/environments, independent problem solving, and customer-facing technical support.
Python, Docker, Linux, ChatGPT, Claude Code, Cursor
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Hands-on AI/ML engineering expertise applying large-scale data to system architecture, hardware and software performance, power behavior, and silicon product development.
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.
Sully.ai: Autonomous AI agents for hospital operations and clinical workflows.
Strong Python and applied ML skills with PyTorch/Hugging Face; experience building agent systems, evaluation/benchmarking frameworks, experiments, and productionizing research for clinical settings.
Cylake: Developing an AI-native cybersecurity platform for sovereign environments.
5+ YOERequires 5+ years applying ML, deep learning, or generative AI to cybersecurity or related fields, or a relevant Ph.D.; Python, PyTorch, AI agents, LLM training, and production ML experience.