AI Engineering Jobs in San Francisco

Perplexity AI

The Enterprise Agent Evals & Efficiency team at Perplexity focuses on enhancing the capabilities of AI agents to perform real-world tasks across various enterprise connectors, tools, and data sources. The primary objective is to enable agents to select the appropriate tools, utilize relevant context, and execute complex workflows reliably, while minimizing time and computational resources. This role involves end-to-end ownership, from developing realistic enterprise evaluation environments to implementing improvements in the agent harness, tools, and skills. You will create intricate scenarios involving connected systems, data, and permissions to pinpoint agent weaknesses and refine the tools, skills, context, and models they employ. Collaborating with AI Research, Connectors, and Platform teams, you will translate experimental findings into tangible improvements in task success rates, latency, and cost efficiency.

$220k - $405k

Capital One is seeking an AI Engineer to join the Intelligent Foundations and Experiences (IFX) team. This role is central to bringing the company's AI vision to life, working with partners across the organization to advance AI science and engineering. You will build and deploy proprietary solutions that are critical to the business and impact millions of customers. The team's AI models and platforms empower other departments to enhance their products with AI responsibly and at scale. You will help reimagine how Capital One serves its customers and businesses by leveraging emerging AI capabilities.

$197k - $225k

Salesforce is seeking a Lead Software Engineer for its new AI Labs business unit, focused on driving large-scale transformation through generative AI and a leading platform for mission-critical workloads. In this role, you will contribute high-quality code to complex problems, touching every phase of the product lifecycle from ideation and prototyping to feature execution and release. You will work closely with talented engineers and AI researchers, collaborating with technical and non-technical colleagues to identify and solve real customer problems. The role involves embedding with demanding customers to understand their challenges and implement solutions, leveraging Salesforce products, open-source technologies, and custom-built tools. We value engineers who can write clean, effective code, learn new languages quickly, and adapt to diverse customer environments to deliver scalable solutions.

$149k - $314k

As a SEAM Intern, you will work on a well-scoped research or engineering project related to sensing, estimation, localization, mapping, or autonomy reliability. You will collaborate with experienced engineers and researchers to design algorithms, implement software, evaluate system performance, and understand how sensing capabilities operate in real-world autonomous driving systems. Potential focus areas include state estimation and sensor fusion, sensor alignment and calibration, localization, next-generation mapping, and fallback and secondary capabilities.

$175k - $175k

Genmo is a research lab focused on developing advanced video world models to understand, simulate, and interact with the physical world, aiming to unlock the right brain of AGI. We are seeking an exceptional Research Scientist to pioneer cutting-edge diffusion models for text-to-video generation. This role involves creating novel architectures and algorithms to transform written descriptions into high-quality, coherent video content, pushing the boundaries of physical intelligence and enabling robots to learn and act in dynamic environments.

Salary not listed

OpenAI

OpenAI's Hardware organization is developing next-generation AI-native silicon and integrated systems to power frontier models. This role focuses on defining and building the CI/CD systems essential for qualifying these advanced models and the software stack that runs on OpenAI's custom AI accelerators. The work ensures that correctness, performance, and stability are measurable for every code change, from initial commits to production releases. This position involves model workloads, accelerator software, systems infrastructure, and enhancing developer productivity by establishing scalable CI/CD and GitOps practices, designing robust regression and benchmarking pipelines, and collaborating with various engineering teams to optimize feedback loops.

$318k - $485k

Anthropic

Our Sandboxing team builds the isolation layer that enables Claude to run code, use computers, or act as an agent. These systems are critical for executing code written by Claude for users, training and evaluating models, and supporting customer-deployed agents. The sandboxes must start rapidly, withstand adversarial code, and scale to handle numerous concurrent sessions. This role involves working at the intersection of the Linux kernel, virtualization, and container technologies, collaborating with research, product, and security teams to ensure both safety and performance.

$320k - $485k

Typeface

We help the world’s biggest brands move from brief to fully personalized campaigns — in days, not months. Founded by Abhay Parasnis and backed by Microsoft, GV, Salesforce, Lightspeed, Madrona and Menlo, we’re building category-defining technology at the intersection of creativity and AI with real impact. Join us to help shape the future of enterprise marketing. As a Senior Software Engineer, Platform, you will be responsible for building features end-to-end, working closely with cross-functional teams including product, design, marketing, and data science to design and develop features. We are looking for software engineers across multiple levels to join our team and help us build innovative web applications and cloud services that deliver the power of generative AI to our customers.

$210k - $240k

Capital One is building responsible and reliable AI systems to transform banking. We are at the forefront of enterprises leveraging AI, using machine learning to create personalized customer experiences and bring humanity and simplicity to banking. Our Intelligent Foundations and Experiences (IFX) team is central to this vision, building and deploying proprietary AI solutions that deliver value to millions of customers. You will partner with cross-functional teams to deliver AI-powered products, design, develop, test, deploy, and support AI software components, and leverage a broad stack of Open Source and SaaS AI technologies. You will invent and introduce state-of-the-art foundation model optimization techniques to improve the performance of large-scale production AI systems and contribute to the technical vision and roadmap of foundational AI systems.

$230k - $262k

Bretton AI

Bretton AI is seeking Product Engineers to transform complex customer challenges into elegant technical solutions. In this role, you will take ownership of significant features from their initial conception through to production. You will collaborate directly with customers to deeply understand their requirements, design scalable architectures, and deliver code that demonstrably enhances compliance operations. This position offers a blend of in-depth technical work and substantial customer impact, where you will develop systems processing thousands of cases, significantly reducing time for compliance teams and directly contributing to company revenue.

$200k - $270k

Crusoe

We are seeking a Senior Enterprise AI Automation Engineer to play a key role in executing Crusoe's 2026 Enterprise AI Strategy. In this role, you will design and build agentic AI systems that move the organization from simple information retrieval to orchestrated, multi-system automation. You'll operate at the intersection of AI, enterprise systems, and integration platforms—building scalable agent workflows, enabling a citizen developer ecosystem, and establishing the technical foundations for an AI-powered operating model.

$145k - $170k

Decagon

Decagon is a leading conversational AI platform that empowers brands to deliver exceptional customer experiences through AI agents. Our technology enables enterprises to deploy personalized and satisfying interactions across various channels. We are building a future where customer experiences are redefined, moving beyond traditional support to foster faster resolutions, richer conversations, and deeper relationships. The Product Engineering team at Decagon is responsible for building the platform that allows customers to create, operate, and enhance their AI agents, transforming complex engineering tasks into user-friendly product features. This team is crucial for scaling Decagon's impact, with the frameworks they build supporting every agent in production, ensuring reliability and robustness across diverse workflows and constraints. They also build agents directly, using production failures as opportunities to create guardrails, evaluations, and tooling that improve the platform universally.

$200k - $400k

Together AI

The Speculative Decoding team at Together AI focuses on developing draft models and algorithms to accelerate large language model generation without altering outputs. Their work integrates model training, inference algorithms, and serving systems, optimizing all three for reduced cost and latency. As a research intern, you will explore open questions in speculative decoding, including new drafter architectures, verification schemes, knowledge distillation, and adaptive drafters. You will train and fine-tune draft models at scale on GPU clusters and evaluate your solutions against realistic serving workloads, such as long-context and agentic traffic.

Salary not listed

Pallet is building AI Agents to transform the physical economy, a $12 trillion global industry. We are seeking a Software Engineer, Agent Delivery to deploy production AI agents within large supply chain companies. This role involves working directly with customer teams to understand critical workflows, design integrations, debug production systems, and implement AI-powered solutions in complex environments. You will own deployments from discovery to launch, acting at the intersection of engineering, product, and customer operations, and will spend time with customers both remotely and onsite.

$135k - $180k

Assort Health

Assort Health is building a continuous conversation for every patient with an AI agent that remembers context and personal preferences. The company aims to transform healthcare administration by creating a more personalized and efficient patient experience. They have a strong growth trajectory, significant funding, and recognition as a leader in healthcare AI.

$115k - $140k

Prime Intellect

Prime Intellect is building the open superintelligence stack, providing infrastructure for AI labs. Their platform, Lab, unifies compute, environments, evaluations, and training for post-training at frontier scale. They are developing open-source models for long-horizon tasks and the platform their research team uses. The company has raised $150M from prominent investors and AI leaders. They are seeking individuals passionate about building at the intersection of frontier research, infrastructure, and go-to-market strategy for a nascent category. This role focuses on building the data foundation for Prime Intellect's next generation of open models. You will identify and process valuable data sources, transforming them into training-ready corpora. Your work will directly influence both broad pretraining efforts and the development of specific capabilities like reasoning, coding, and long-context learning. You will collaborate closely with researchers to test and refine data strategies, ensuring the data effectively improves model performance.

$150k - $350k

Athelas

Commure is building the AI Operating System for healthcare, transforming the industry's administrative burden with an AI-native platform. Our products span ambient AI for documentation, intelligent agents for workflows, and autonomous revenue cycle management. We are seeking a Senior Engineering Manager to lead the team responsible for the financial core of our revenue cycle product, including the ledger, reporting, and analytics. This role involves managing a team of 6-8 engineers, owning the product roadmap with a product partner, and ensuring financial correctness across the platform. The team is currently undertaking a significant rebuild of its reporting logic and ledger system while maintaining service for existing customers.

$240k - $275k

As a Robotics Software Engineer on the Isaac Applications Team, you will integrate software and hardware to enable Physical AI robots to operate in the real world. You will build working robotic systems and end-to-end workflows for engineers and AI agents, connecting data, simulation, and real-world deployment to continuously expand and improve robot capabilities. We are looking for strong software engineering skills, broad robotics knowledge, and enthusiasm for working hands-on with physical robots when taking ideas into practice. You enjoy understanding how components interact, solving problems across their boundaries, and seeing them come together to deliver new robot capabilities.

$184k - $357k

Salesforce AI Labs is seeking exceptional emerging AI and computer science talent for a highly selective, 24-month rotational fellowship designed to develop the next generation of AI builders. Fellows will tackle real technical and customer challenges, build with frontier AI technologies, and ship solutions into production at enterprise scale. This program offers hands-on experience across four distinct dimensions of the AI lifecycle: Product Engineering, Product Management, Customer Solution Deployment, and Enterprise Workflow Transformation. The rotational model provides exposure to different AI teams, technologies, and problems, building the technical depth, adaptability, and product mindset needed to become an AI leader. Upon successful completion, Fellows will transition into high-impact AI teams across Salesforce.

$114k - $136k

Decagon

Decagon is seeking a Senior Software Engineer to join the Product Engineering team. This team is responsible for building the core platform that enables customers to create, operate, and improve their AI agents. You will design and build systems that allow customers to configure, train, test, and monitor sophisticated AI agents with confidence, translating complex technical capabilities into simple, usable interfaces. You will own features end-to-end, from technical architecture through deployment and iteration, working closely with product and design to understand customer use cases and ensure the right solutions are built. This role involves building self-serve functionality, designing configuration abstractions, creating AI-powered tooling for agent workflows, and developing monitoring and analytics for agent performance.

$200k - $400k

Together AI

The Speculative Decoding team at Together AI focuses on developing draft models and algorithms to accelerate large language model generation without altering outputs. Our work spans model training, inference algorithms, and serving systems, aiming to reduce generation cost and latency. As a research intern, you will explore open questions in speculative decoding, including new drafter architectures, verification schemes, knowledge distillation, and adaptive drafters. You will train and fine-tune draft models at scale on GPU clusters and evaluate your ideas against realistic serving workloads, such as long-context and agentic traffic. Projects are designed to address key research questions in speculative decoding, leading to faster generation on frontier models, drafters that adapt to changing workloads, and robust evaluation under real traffic.

Salary not listed

Prime Intellect

Prime Intellect is building the open superintelligence stack, providing infrastructure for AI labs. Our platform, Lab, unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment for post-training at frontier scale. We are developing open-source models trained end-to-end for long-horizon tasks like autonomous research, alongside the full-stack platform our research team utilizes. We are seeking individuals passionate about building at the intersection of frontier research, real infrastructure, and go-to-market for a nascent category.

$150k - $350k

AI Labs at Salesforce is seeking deeply technical, product-savvy AI architects to evaluate AI technology for potential acquisitions and investments, and to accelerate portfolio companies post-acquisition. These leaders will provide technical depth during M&A diligence and help build common AI capabilities, models, and infrastructure that can be leveraged by acquired companies. The role involves assessing the technical viability of companies, identifying risks and opportunities, and advising on build-vs-buy decisions and the defensibility of underlying technology.

$197k - $365k

Prime Intellect

Prime Intellect is building the open superintelligence stack, a full-stack system for post-training at frontier scale. Our platform, Lab, unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment. We are developing open-source models trained end-to-end for long-horizon tasks and the platform our research team uses to build them. This role is for someone who wants to build at the intersection of frontier research, real infrastructure, and go-to-market for a new category. As a Research Engineer, you will build the tasks and environments that train our models through RL, and the evaluations that measure their capabilities. You will collaborate directly with researchers to diagnose model failures, examining both task implementation and success scoring.

$150k - $350k