Senior AI Engineer Jobs

Wayve is building the leading AI platform for autonomous driving, pioneering an end-to-end AI approach that enables vehicles to learn directly from real-world experience. This role is within the AI Validation team, a fast-growing group responsible for proving the safety and effectiveness of the Wayve AI Driver. The team focuses on simulation-led validation across various driving competencies. You will own the validation process for specific driving behaviors, developing metrics, automated tests, and analyzing results to ensure the AI Driver meets product requirements and safety standards. This role offers the opportunity to influence release decisions and contribute to bringing advanced autonomous driving technology to a global market.

$210k - $311k

Salesforce Enterprise Security is seeking an Enterprise Application Security Engineer for their Secure AI team. In this role, you will collaborate with business stakeholders and technology partners to ensure AI tooling meets Salesforce's security requirements as AI is deployed at scale. You will have the opportunity to identify emerging threats, design processes that balance security and business agility, and share your knowledge through internal events, conferences, and research.

$149k - $260k

Parameter

Full time • San Francisco, CA • $180K – $240K • 2 openings Parameter builds AI agents that do offensive security work. Our agents run autonomous penetration tests against production applications and cloud environments, finding IDORs, broken access control, XSS, and infrastructure misconfigurations that scanners miss and that human pentest firms only look for once or twice a year. We are not a theoretical security company. Our team has responsibly disclosed real, high-severity vulnerabilities to well-known technology companies, and our findings are the front door to most of our customer relationships. You'll build the agent systems that do the actual hacking. That means designing the reasoning loops, tool interfaces, and memory architecture that let an LLM behave like a competent offensive security researcher rather than a fuzzer with good manners. The title points at where you'll spend most of your time. Expect the rest of the week to go wherever the work is: agent systems one day, the product the next, a customer call or a report that has to go out after that. We are small enough that everyone works across every product, and we hire people who want that. What you'll do - Design and ship agent workflows in LangGraph and Temporal that plan, execute, and verify multi-step exploitation chains - Build the tool layer the agents operate through: HTTP clients, auth handling, browser control, cloud enumeration, payload generation - Own the eval loop. We use Braintrust and Langfuse. You'll define what “good” means for agent runs and make the number go up - Reduce false positives, which is the single hardest problem in this space and the thing customers care most about - Manage inference cost and latency at scale, including prompt caching, context strategy, and model selection across Claude and Bedrock What we're looking for - 3+ years of software engineering, with at least one year building production LLM systems (not just prototypes or demos) - Strong TypeScript. Comfortable with async, distributed systems, and long-running workflow orchestration - Real intuition for context engineering, tool design, and why agents fail in the wild - You measure things. You've built or maintained an eval harness and know why offline metrics diverge from production behavior - Bonus: security background, CTF experience, bug bounty history, or a track record of breaking things you were not supposed to break Interview process - Intro call with a founder (30 minutes) - Technical deep dive on your past work (60 minutes) - Paid work trial or take-home, scoped to roughly one day - Onsite in San Francisco with the team - References and offer Stack TypeScript · LangGraph · Temporal · GCP · AWS Bedrock · Anthropic API · Langfuse · Braintrust · GitHub Actions · Linear · Graphite We move quickly. Our target is an offer within two weeks of first contact. Small team, high trust, extremely fast. If you want to see your work in front of customers within days, this is that. This role is onsite in San Francisco. You must be authorized to work in the US; we are not able to sponsor visas at this time.

$180k - $240k

Databricks

Databricks is seeking a Senior Software Engineer for its Files team to innovate at the intersection of storage, performance, and distributed systems. This role will directly shape the company's filesystem strategy to power next-generation agentic workloads. The Filesystem has emerged as a preferred runtime interface for AI agents, serving as a foundational layer for context, memory management, artifact authoring, version control, sandboxing, and inter-system communication, thereby accelerating AI adoption.

$166k - $225k

ClickHouse

ClickHouse Labs is an applied research group focused on identifying and solving challenging problems in database systems, with a goal of advancing the state of the art and translating research into real-world system improvements. As a Research Scientist, you will tackle high-impact problems at the intersection of database systems, distributed systems, AI, and systems software engineering. You will collaborate with experienced researchers and engineers on a broad range of topics, including query optimization, execution engines, distributed systems, and emerging agentic workloads, working with leading open-source systems like ClickHouse and PostgreSQL. Your work will involve investigating performance bottlenecks, developing new algorithms and system designs, and evaluating them under realistic conditions, with opportunities to publish your work and contribute to open-source projects.

$175k - $235k

Data is central to our operations, and as a Data Scientist on our Applied AI team, you will be at the forefront of leveraging cutting-edge machine learning technologies. You will work with billions of customer records to unlock opportunities that enhance people's financial lives. This role involves partnering with a cross-functional team to deliver innovative Generative AI solutions, utilizing a broad technology stack including Python, PyTorch, LangChain, AWS, Spark, and Vector Databases. You will be responsible for building and deploying Generative AI models and pipelines, from initial concept through fine-tuning and evaluation, translating complex technical work into tangible business outcomes.

$136k - $155k

Toast

The Product-Led Growth team at Toast builds in-product experiences that guide restaurants in discovering, trying, buying, and adopting necessary Toast products. This role involves owning the services and surfaces responsible for targeted offers, purchase flows, and activation, with a strong focus on measurable, revenue-attached outcomes. You will ship experiments, analyze results, and develop shared infrastructure to accelerate future launches. This position requires collaboration with product, marketing, sales operations, and data science to translate customer behavior hypotheses into testable in-product experiences and validate them with data.

Salary not listed

Datadog

The Autonomous Ops & Maintenance (ATOM) Team is developing an innovative platform that leverages artificial intelligence and automated systems to empower engineering groups in safely executing complex operations and software maintenance. Their primary objective is to minimize repetitive toil while delivering the precise visibility, oversight, and trust necessary to run automated solutions in mission-critical environments. This platform acts as an intelligent virtual collaborator, directly offloading routine operational overhead that currently requires manual intervention. We are looking for a Senior Software Engineer to help design and scale our foundational architecture, synthesizing vast technical datasets into rich structured knowledge, engineering AI-driven components capable of analyzing intricate operational workflows, and constructing highly reliable systems to execute automated modifications seamlessly.

Salary not listed

Capital One is at the forefront of leveraging AI to transform banking, creating responsible and reliable AI systems that enhance customer experiences. The Intelligent Foundations and Experiences (IFX) team is central to this vision, building and deploying proprietary AI solutions that deliver value to millions. This role involves partnering with cross-functional teams to deliver AI-powered products, design and develop AI software components, and invent state-of-the-art foundation model optimization techniques. You will contribute to the technical vision and long-term roadmap of foundational AI systems, setting the technical direction for enterprise-wide AI architecture and championing responsible AI principles.

$245k - $279k

Elastic

Elastic is seeking a Principal AI Ecosystem Architect to lead technical strategy and relationships with key AI providers, specifically OpenAI and Anthropic. This individual contributor role involves driving co-build strategies through deeper integrations, influencing Elastic's product roadmap, building prototypes, and shaping go-to-market content. The goal is to help customers leverage frontier intelligence with unstructured data by positioning Elasticsearch as the retrieval layer for AI agents. You will be responsible for building, managing, and owning technical relationships end-to-end, bringing both technical depth and practical experience to the role.

$184k - $291k

d-Matrix

d-Matrix is at the forefront of software and hardware innovation, aiming to unleash the potential of generative AI. We foster a culture of respect, collaboration, humility, and direct communication, valuing diverse perspectives to create better solutions. We are seeking passionate individuals driven by execution to join us in shaping the future of AI. As a Staff-level individual contributor on the Software Infrastructure team, you will drive the automation for our CI/CD and release pipeline. This involves diagnosing and fixing pipeline failures, such as identifying real regressions, flaky hardware, or infrastructure issues, and pinpointing the exact merge that caused overnight test failures. You will blend AI techniques with traditional software automation to build highly reliable systems and architect compute and storage solutions across cloud and on-prem environments. Your role will involve partnering with various teams to develop and spread best practices, reducing developer toil and accelerating development velocity.

$155k - $235k

Anthropic

The People Products team at Anthropic is dedicated to shaping the future of AI at work, focusing on critical aspects of the employee lifecycle. This role involves defining the blueprint for AI in professional environments, from hiring and manager effectiveness to onboarding and fostering company culture through innovative tools. You will work directly with Anthropic's advanced AI, Claude, tackling complex, unsolved problems and moving rapidly from prototype to production. This is an opportunity for individuals who are passionate about improving people practices and want to make a significant impact at a leading AI company.

$405k - $485k

Escape is seeking a Senior Full-Stack Engineer to join their AI Cybersecurity team. This role is central to the company's product, focusing on owning and evolving the core data model that represents attack surfaces and AI-learned insights. You will be responsible for translating offensive AI research into tangible product features, accessible through a Svelte frontend and GraphQL API. This position offers a high-leverage opportunity to influence technical direction and directly impact what customers see, with a clear path towards technical leadership.

€75k - €90k

Taktile

Banks and fintechs use Taktile to automate critical decisions, like credit and risk, in real time. We're building the infrastructure that makes financial institutions truly AI-native, and the backend is where the hard problems live. We're growing rapidly with enterprise customers across banking and insurance, and we're looking for a Senior Backend Engineer to join Team Atlas, a small, high-ownership team focused on the data infrastructure powering our feature computation platform. You'll own critical systems end-to-end, and your decisions will shape the product.

Salary not listed

Join us in redefining how artificial intelligence accelerates business impact. As an AI & Data Scientist, you will apply advanced analytics, machine learning, and artificial intelligence techniques to transform workforce data into actionable insights and solutions. You will partner with business leaders, product teams, and technologists to develop models, evaluate outcomes, and deliver AI-powered capabilities that support evidence-based workforce decisions. Your work will help accelerate the delivery of innovative AI solutions within a regulated environment.

Salary not listed

Taktile

Taktile is seeking a Data Engineer (AI Enablement) to join their rapidly growing team, empowering financial institutions to become AI-native. As the first dedicated Data Engineer for AI Enablement, you will be responsible for building internal tools, agents, and integrations to enhance team efficiency. This role involves end-to-end project ownership, collaborating with leads across Engineering, GTM, and Ops to identify and scale high-impact workflows. You will embed across various departments to pinpoint areas where AI can reduce operational friction, drive adoption through workshops and support, and partner with Security and IT to ensure data protection.

Salary not listed

We are seeking a Product Manager / AI Product Manager to join our Payments Platform team. In this high-visibility role, you will define and drive the product strategy for AI-powered automation within our payments platform. You will leverage data, machine learning, and agentic AI to enhance reliability, mitigate operational risk, and accelerate the resolution of payment issues at scale. This position sits at the critical intersection of payments domain workflows, machine learning (particularly anomaly detection), and LLM-based systems (RAG, agentic orchestration).

Salary not listed

SambaNova

SambaNova is seeking a Software Architect to join the SambaStack platform team. This role involves defining the technical direction and architectural strategy for an AI inference platform that serves enterprise AI workloads on SambaNova's RDU hardware. You will own cross-cutting architectural decisions, ensuring the platform meets enterprise-grade standards for scalability, reliability, and performance. This is a high-impact position at the intersection of AI infrastructure, enterprise software, systems architecture, and developer experience.

$245k - $325k

Cerebras

Cerebras Systems is seeking an AI and Automation Engineer to join their Business Intelligence and Systems team. This role involves designing, building, and operating secure AI solutions and enterprise automations for the company. You will translate complex requirements from Finance, Accounting, Supply Chain, and other business units into reliable agents, applications, integrations, and controlled workflows. The position requires a blend of solution architecture, direct engineering, production support, and agile delivery, with a strong emphasis on software engineering judgment and practical business process knowledge to move prototypes into secure, supportable production services.

Salary not listed

SambaNova

SambaNova is seeking a Senior Principal AI Solutions Engineer, a hands-on technical leader responsible for setting the technical direction of their solutions portfolio and actively building agentic applications. This role involves transforming customer problems into polished, production-ready applications rapidly. You will work across the entire modern AI stack, including open-weight models, agent frameworks, self-improving evaluation loops, multimodal and voice pipelines, and user-friendly front-end interfaces. You will lead engagements with strategic customers, mentor the solutions team, and provide valuable feedback to the platform. This position requires expertise in designing and building reliable single- and multi-agent systems with advanced features like planning, tool/function calling, and long-running workflows. You will also develop feedback loops for continuous improvement of agents, including automated evaluations and fine-tuning. A key aspect is setting up robust evaluation, tracing, and guardrails to ensure quality, cost-effectiveness, and latency for deployed solutions.

$234k - $286k

As a Director of Software Engineering at JPMorgan Chase within Operations Collections, you will lead a technical area and drive impact across teams, technologies, and projects. You will utilize your in-depth knowledge of software, applications, technical processes, and product management to drive multiple complex projects and initiatives. You will serve as a primary decision-maker for your teams and be a driver of innovation and solution delivery.

Salary not listed

SambaNova

SambaNova is seeking a Senior Developer Advocate, AI Content & Community to enhance the visibility and utility of its AI infrastructure technology. This role involves hands-on development of compelling demos and applications using SambaCloud, alongside building relationships within the developer ecosystem to amplify SambaNova's offerings. The ideal candidate will be adept at prototyping, clearly explaining complex technology, and effectively communicating through various media, including live presentations and digital content.

$196k - $240k

JPMorgan Chase is seeking a Lead Software Engineer for their Asset and Wealth Management- Analytics & Applied AI Team. This role is integral to an agile team focused on enhancing, building, and delivering secure, stable, and scalable technology products. You will be a core technical contributor, responsible for developing critical technology solutions across various business functions to meet firm objectives. The ideal candidate is passionate about solving business problems through innovation, analytics, and an AI-first engineering mindset, focusing on building reusable, governed analytical data products and accelerating regulatory and CEO-priority analytics. You will lead an AI-first transformation of data engineering and analytics by productizing the data product lifecycle and building human-in-the-loop autonomous agents to reduce manual effort, improve auditability, and enable self-service consumption on the strategic data mesh, while also owning the modernization of this mesh.

Salary not listed

SambaNova

SambaNova is seeking a talented and driven ML performance engineer to optimize and scale state-of-the-art foundation models on SambaNova's reconfigurable dataflow platform. You will work hands-on with advanced models to push the limits of throughput, latency, and efficiency. This role bridges the gap between deep learning and systems performance, collaborating across compiler, runtime, and hardware layers to deliver world-record performance for large-scale AI inference.

$180k - $255k