AI Engineering Jobs in San Francisco

Oxus is seeking a Founding Engineer to join its early-stage team, which is building AI-powered solutions to automate internal audit workflows for public and pre-IPO companies. The company's platform is already used by leading payroll providers, public biotechs, and social media enterprises to streamline the manual processes involved in gathering, reviewing, and documenting information for internal audits. The Founding Engineer will play a crucial role in developing these AI systems, ensuring accuracy, traceability, and reviewability in high-stakes workflows. This is an opportunity to significantly impact the product, architecture, and engineering culture of a fast-growing startup backed by prominent investors.

$150k - $250k

Nunchux AI is building infrastructure to make multimodal generative AI faster, cheaper, and easier to build upon. We are seeking a Machine Learning Engineer focused on post-training and evaluation to enhance the efficiency and quality of visual generative models. In this role, you will develop and validate post-training techniques, curate and manage data pipelines for training and evaluation, and build robust evaluation systems to measure model performance. You will also benchmark models against industry standards, ensure quality, and integrate cutting-edge research into production workflows.

$180k - $250k

Decagon

Decagon is seeking a Research Engineer focused on Audio and Speech to build and productionize models and agent harnesses for real-time voice agents. This role involves advancing multimodal and full-duplex systems capable of natural, real-time listening, reasoning, speaking, and responding. The ideal candidate will own their work end-to-end, ship impactful improvements, and make high-level technical decisions in a collaborative environment.

$200k - $400k

The Institute of Foundation Models is a dedicated research lab focused on building, understanding, using, and risk-managing foundation models. Our mission is to advance research, cultivate future AI builders, and make transformative contributions to a knowledge-driven economy. As part of our team, you will work on the core of cutting-edge foundation model training alongside world-class researchers, data scientists, and engineers. You will tackle fundamental and impactful challenges in AI development, contributing to groundbreaking AI solutions with the potential to reshape industries. Strategic and innovative problem-solving skills are essential for establishing MBZUAI as a global hub for high-performance computing in deep learning and driving impactful discoveries.

$150k - $400k

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

Salesforce is seeking an experienced Senior Engineering Manager to lead the Foundations team, which is responsible for the core infrastructure and platform that all other engineering teams build upon. This role involves growing the team from 7 to 12 engineers, driving improvements in delivery, reliability, and technical direction. The ideal candidate will combine deep expertise in platform and infrastructure with strong people leadership, operational rigor, and a proactive approach. This is a high-visibility role focused on shaping the reliability, scalability, and velocity of the entire engineering organization within a high-growth, AI-focused environment.

$173k - $260k

Our team builds the digital commerce experiences that support how customers discover, buy, subscribe to, and manage GM products and services. We are looking for engineers who pair strong software fundamentals with practical AI-assisted development habits to move faster, raise quality, and help the broader team work better. This role is ideal for a highly technical engineering leader who can use AI-assisted workflows to improve delivery speed and quality, shape reliable low-latency services and architectures, and raise team productivity through stronger engineering practices, reusable patterns, and technical leadership.

$160k - $246k

Decagon

Decagon is seeking a Research Engineer focused on Safety to ensure the reliability and controllability of their AI agents. This role involves identifying real-world failure modes and developing the necessary models, evaluations, and safeguards to prevent them. The ideal candidate will be a strong engineer passionate about advancing applied AI safety in production, with the ability to own projects end-to-end and make high-impact technical decisions.

$200k - $400k

Decagon

Decagon is seeking a Senior Research Engineer focused on Safety to ensure the reliability and controllability of their AI agents. This role involves identifying real-world failure modes and developing the necessary models, evaluations, and safeguards to prevent them. The ideal candidate will be a strong engineer passionate about advancing applied AI safety in production, taking ownership of their work from end-to-end, and making high-impact technical decisions.

$200k - $400k

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

Moveworks is building the runtime infrastructure that powers its AI agents, which deliver real-time responses to millions of enterprise users. This role focuses on distributed systems engineering at the core of agentic AI. The AI agents can plan, execute multi-step workflows, call tools, and interact with users while maintaining correctness, observability, and low latency. The systems responsible for these capabilities are what you will build and own.

Salary not listed

Cerebras

Cerebras Systems is seeking a Senior Software Engineer to build and operate the platform layer behind their engineering infrastructure. This role focuses on designing, building, and maintaining CI/CD systems, Kubernetes-based platforms, and deployment automation. You will work on cloud and on-premises infrastructure, developer environments, artifact management, and observability, ensuring these systems are reliable, scalable, and easy to operate. This is an engineering-focused role where you will automate repetitive tasks, debug complex issues across system boundaries, and drive durable software and platform improvements.

Salary not listed

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

OpenAI

This role focuses on oversight and system-level mitigations to enable increasingly capable AI agents to operate safely and autonomously in real environments. The team prioritizes building oversight systems used in practice today, both internally and externally, and studies longer-term questions about how agent systems can be supervised, constrained, and corrected. We are looking for a safety-minded researcher or engineer who can reason rigorously about security boundaries and agent behavior, then build and test practical mitigations. A background in AI control or security is welcome but not required.

$380k - $500k

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

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

Anthropic

Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry’s largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to reliably serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.

$320k - $485k

Moveworks is building the runtime infrastructure that powers its AI agents, enabling them to orchestrate, execute, and deliver responses to millions of enterprise users in real time. This role focuses on distributed systems engineering at the forefront of agentic AI. The AI agents are designed to plan, execute multi-step workflows, call tools, and interact with users, all while ensuring correctness, observability, and low latency. The successful candidate will build and own the systems that make these advanced agent capabilities possible.

Salary not listed

OpenAI

The Agent Safety team is dedicated to ensuring that advanced AI agents operate safely, make sound judgments, and align with user intentions. The mission is to minimize the risk of severe unintended consequences from increasingly capable AI agents while maintaining their effectiveness and autonomy. This involves creating training methods, environments, and data to teach agents better decision-making, building evaluation systems to identify emerging risks, and developing oversight mechanisms to reduce harmful actions.

$380k - $500k

Moveworks is building the runtime infrastructure that powers its AI agents, which are responsible for orchestrating, executing, and delivering responses to millions of enterprise users in real time. This role focuses on distributed systems engineering at the forefront of agentic AI. The AI agents are designed to plan and execute multi-step workflows, interact with tools, and manage human input, all while ensuring correctness, observability, and low latency. The systems responsible for these capabilities are what you will build and own.

Salary not listed

Moveworks is seeking a Machine Learning Engineer to develop cutting-edge ML infrastructure for building and serving LLMs. This role is pivotal in constructing, optimizing, and scaling end-to-end machine learning systems, encompassing distributed training and inference pipelines for large language models, model evaluation and monitoring frameworks, and LLM latency optimization. The frameworks developed will serve as a robust foundation for hundreds of ML and NLP models in production, impacting millions of enterprise employees. You will address challenges in service scalability and core algorithm optimization, working closely with machine learning, data infrastructure, and core skill teams. Your contributions will significantly influence customer AI experiences and the long-term scalability of our core AI product.

Salary not listed

We are seeking a Senior Software Engineer to join our team and build the runtime infrastructure that powers Moveworks' AI agents. These agents are responsible for orchestrating, executing, and delivering responses to millions of enterprise users in real time. This role focuses on distributed systems engineering at the forefront of agentic AI, enabling our AI agents to plan, execute multi-step workflows, call tools, and interact with users while maintaining correctness, observability, and low latency. You will build and own the core systems that make these advanced agent capabilities possible.

Salary not listed

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

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