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AI Engineer Jobs in San Francisco

AI Engineer Jobs in San Francisco, page 10

Applied AI, Research Engineer

1mo ago
Anthropic

Anthropic

As an Applied AI Research Engineer, you will explore the capabilities of Anthropic's models and products, validate them with real customers, and empower the Applied AI team to effectively sell and deliver these solutions. You will work closely with product teams to gain deep expertise on emerging capabilities and act as a crucial feedback loop, relaying field insights back to Product and Research to ensure future development aligns with customer needs. This role involves a blend of research, field expertise, and bridging the gap between customers and product development teams. You will need strong technical skills to push the boundaries of AI models, excellent communication abilities to explain complex features to various audiences, and the insight to translate field learnings into product improvements.

$300k - $400k

San Francisco, CA | New York City, NY onsite
AnthropicPythonLLM +3 more

Staff Software Engineer, Internal Tools & Automation

1mo ago
Crusoe

Crusoe

As a Forward-Deployed Engineer at Crusoe, you will embed with internal teams such as SRE, Finance, Sales, or People Ops to understand their operations and build software that directly enhances their workflows. Your focus will be on creating applications, automations, or agents that make their work faster, clearer, and more dependable, with success measured by user adoption and the time/effort saved. This is a new function within the company, offering a unique opportunity to help shape its direction and leverage modern capabilities like AI agents and write-back BI tools to deliver impactful solutions rapidly.

$215k - $260k

San Francisco, CA - US onsite Full-time
PythonAI AgentsSQL +1 more

Software Engineer, Data Systems

1mo ago
E

Eventual

Eventual is building data curation for Physical AI, processing petabyte-scale video and sensor data to extract crucial signals for training frontier AI models. The company's mission is to empower Physical AI and robotics teams to instantly find, curate, and stream the data they need. As a Software Engineer on the Data Systems team, you will build key capabilities for a high-throughput data engine over petabytes of video, lidar, and telemetry data, working directly on the architecture for real-time indexing, distributed storage/compute, and efficient dataloading to GPUs. This role offers high ownership across the stack in an agile, fast-paced startup environment.

$150k - $200k

San Francisco hybrid Full-time
AWSRustLLM +4 more

Senior Software Engineer: AI

1mo ago
Swayable

Swayable

Swayable is a fast-growing AI and automated data science platform that measures public opinion and the impact of messages and advertising content on it. We are a 40-person team backed by top technology and social impact investors, including Y Combinator. The Director of AI will be a builder, researcher, developer, and thought-partner to the CEO and CTO, responsible for discovering, prototyping, and proving out high-value applications of cutting-edge AI across business operations, product, and fundamental research. This role offers a unique opportunity to leverage significant resources, including a large dataset of RCT survey experiment results, an established team of engineers and scientists, academic partnerships, and direct access to enterprise customers for rapid product development.

$175k - $250k

San Francisco +1 location onsite
AnthropicPythonJavaScript +6 more

Senior Application Security Engineer, AI and Machine Learning

7mo ago
L

Lightning AI

Lightning AI is seeking a Senior Application Security Engineer to safeguard their AI, machine learning, and inference platforms. This is a hands-on technical role focused on integrating security into modern AI infrastructure, inference systems, and developer platforms. You will collaborate with platform engineers, ML engineers, and infrastructure teams to identify risks, design secure architectures, and develop security tooling that empowers engineers to operate efficiently and securely. The role is execution-driven, involving technical implementation, in-depth security reviews, and contributing to the growth of application security capabilities.

$180k - $220k

San Francisco, California, United States; Seattle, Washington, United States hybrid
AWSKubernetesPython +11 more

Product Engineer, Cyber

1mo ago
OpenAI

OpenAI

We are building the Defense Factory to help enterprises find and fix security vulnerabilities with AI. Our team builds infrastructure that enables AI agents to work in secure, customer-controlled cloud environments, with the context, tools, and controls they need to investigate security findings, carry out approved actions, and verify results. We focus on turning AI capabilities into reliable security outcomes, starting with finding and fixing vulnerabilities and expanding into investigation, detection, and response. This role is backend-focused, and you will build infrastructure and customer-facing workflows that let developers and AI agents work reliably in parallel, primarily in Go on APIs, complex networking, development environments, and orchestration for long-running tasks. You will own outcomes from understanding a user’s problem and choosing an approach through shipping, operating, and improving the solution, working closely with frontend, infrastructure, and security engineers.

$255k - $445k

San Francisco onsite Full-time
OpenAIAWSAzure +8 more

Forward Deployed Engineer, Enterprise AI

1mo ago
H

Handshake AI

As a Forward Deployed Engineer at Handshake AI Enterprise, you will embed directly within enterprise customer environments as part of a small, expert team. Your role will involve deeply understanding each customer's business, including their workflows and bottlenecks, to translate this knowledge into production-grade AI agents that measurably transform their operations. This is a full-stack ownership role, encompassing solution definition, agent building and deployment, evaluation design, and iterative performance improvement. You will develop into a genuine domain expert within your customer's vertical, leveraging this expertise to continuously enhance AI capabilities.

$155k - $170k

San Francisco, CA onsite Full-time
AI AgentsFine-TuningEvals

Sr AI Software Engineer

1mo ago
Artos

Artos

Artos is seeking a talented, startup-minded engineer to accelerate the development of their R&D documentation platform for biopharma companies. As a core member of the engineering team, you will play a critical role in building, scaling, and expanding the Artos platform. You will work across the full stack, developing intuitive product experiences, robust backend systems, and AI-powered workflows that help life sciences companies bring life-saving treatments to patients faster. This role offers meaningful ownership over both the product and the technology, working on challenging problems at the intersection of AI, enterprise software, and life sciences.

$190k - $260k

San Francisco onsite Full-time
DockerPythonTypeScript +6 more

Staff Applied AI/ML Scientist

2mo ago
F

Faire

Faire leverages machine learning and data insights to revolutionize the wholesale industry, empowering local retailers to compete against larger players. Our Applied AI/ML Scientists develop algorithmic solutions for recommender systems, spend optimization, and lifetime value predictions. As a tech lead in this role, you will own the vision, strategy, and execution for a set of problems that power Faire's two-sided marketplace, connecting hundreds of thousands of independent brands and retailers. You will work across structured and unstructured data using various ML methods and act as a lead across multiple cross-functional workstreams, mentoring other scientists.

$247k - $339k

San Francisco, CA onsite
LLMDeep LearningEmbeddings +1 more

AI Acceleration Engineer

1mo ago
Decagon

Decagon

Decagon is seeking an AI Acceleration Engineer to build the core systems that power the company and integrate AI into every team's workflow. This hands-on technical role involves extending existing platforms, automating manual processes in areas like billing and collections, and replacing spreadsheet-based operations with robust systems. You will work directly with stakeholders across various departments to identify automation opportunities, design and implement solutions, and ensure their adoption and success. The role requires a strong generalist with a knack for engineering away manual processes and a deep understanding of when to apply AI versus deterministic pipelines.

$180k - $220k

San Francisco onsite Full-time
AnthropicGoogle CloudPython +5 more