Senior AI Engineer Jobs

Figma is seeking a Data Platform Engineer to join their Data Engineering team. This role will focus on building the foundational systems that power Figma’s next generation of AI-driven products and data experiences. You will be an early engineer shaping the company's ML and data platform, enabling self-serve analytics and production-grade AI systems. The position involves working at the intersection of data, infrastructure, and machine learning to build scalable systems that empower Data Science, unlock AI capabilities, and bring data and models closer to the product experience.

$153k - $376k

Figma is seeking applied scientists with a Machine Learning and Artificial Intelligence background to build AI technologies and enhance Figma products. The role involves driving fundamental and applied research, combining industry best practices with a first-principles approach to design and build AI/ML models and systems. This is a full-time position that can be based in one of our US hubs or remotely within the United States.

$153k - $376k

Moss is seeking an Applied AI Engineer to develop AI agents and intelligent product features that will revolutionize how finance teams operate. This is a hands-on product engineering role focused on building and deploying agent-based features from conception to production. You will be responsible for the entire lifecycle, including architecture, evaluation, backend integration, and ongoing operation. Moss is a rapidly growing fintech unicorn that provides finance professionals with tools to automate daily tasks and make strategic decisions.

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Capital One India is building responsible and reliable AI systems to transform banking. We leverage machine learning for personalized customer experiences and are at the forefront of AI adoption. Our applications of AI & ML bring humanity and simplicity to banking, and we are committed to developing world-class applied science and engineering teams. You will help reimagine how we serve our customers and businesses with the transformative power of emerging AI capabilities. The Intelligent Foundations and Experiences (IFX) team is central to this vision, advancing AI science and engineering and deploying proprietary solutions that deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products responsibly and scalably.

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Join a dynamic team at the forefront of financial innovation, leveraging modern machine learning and generative AI to reshape global finance. This role involves partnering closely with product, operations, risk, and technology teams to transform ideas into measurable outcomes. You will have the opportunity to mentor others and influence how production AI is built and operated within the payments sector. As a Vice President Machine Learning Data Scientist, you will lead the design, development, and production deployment of machine learning applications, including generative AI and agentic systems, on cloud infrastructure. You will own the entire delivery lifecycle, from problem framing and experimental design to scalable MLOps, evaluation, governance, and integration with strategic systems, while also setting technical direction and ensuring reliable, secure, and observable solutions.

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Brex

Brex is seeking a Staff Software Engineer to join their Product Data Platform (PDP) team. This role will focus on building and operating high-performance data, query, and search infrastructure that powers critical Brex product experiences, including AI-powered data products. The PDP team's mission is to make Brex customizable, scalable, and reliable for finance teams through deeply optimized, production-grade distributed systems. As a Staff Software Engineer, you will shape the technical direction of the platform across multiple teams, identifying and resolving high-impact architectural problems, and driving them to resolution. You will be accountable for the group's technical quality, balancing long-horizon strategy with hands-on execution, and leading through influence.

$240k - $300k

Databricks

The Web Platform team at Databricks builds and owns the public-facing web experiences that represent Databricks to the world. We are rebuilding the platform from the ground up, AI-native from the start, and pioneering an agentic SDLC as our operating model. As Staff Software Engineer on the Web Platform team, you will own the platform layer that the rest of the team builds on, including the web framework, design system, CMS, infrastructure, CI/CD pipelines, AI-enabled translation, and SDLC agents. This is a rare opportunity to design a web platform for an AI-native world from the ground up, with the north star architecture being defined now, and you will be a primary author of it. You will partner with technical leaders across web and marketing engineering, and set the standard for what AI-native platform engineering looks like in practice.

$198k - $273k

Ultra is seeking a Product Engineer, AI Enablement to develop and deploy internal tools that enhance AI utilization across the company. This role involves collaborating with various teams to identify AI opportunities, build reliable internal tools and workflows, and ensure their adoption. You will be part of the Software team, focusing on both the software development lifecycle for AI tools (coding agents, reviews, testing) and empowering non-engineering colleagues with AI-driven automations. The position is production-oriented, requiring evaluation of commercial tools, development of custom solutions, and measurement of impact and adoption. This is an in-person role in NYC, offering direct visibility into Ultra's operations.

$150k - $225k

Lila Sciences is building the infrastructure for autonomous science, creating AI systems that design and execute experiments across life sciences, chemistry, and materials science. The platform is designed for reliability and scale, serving external customers who require security, auditability, and operational rigor. This role focuses on enabling scientists and AI agents to query scientific knowledge, including literature, patents, customer documents, and experimental records, through advanced retrieval systems.

$224k - $336k

Crunchyroll is seeking a Senior AI Solutions Engineer to join the AI Enablement team. In this role, you will embed with various business teams across the company to understand their workflows and identify opportunities where AI and automation can create significant value. You will be responsible for taking AI solutions from initial concept through prototyping, production, and adoption, focusing on practical applications that improve speed, quality, cost, or employee experience. This position requires a blend of strong business acumen, consultative problem-solving, and hands-on engineering expertise to build reliable, scalable, and maintainable AI-powered systems.

$183k - $229k

We are seeking a highly motivated and experienced Enterprise Data Management – Data Application Engineer specializing in Supply Chain to join our Business Applications group. This role is crucial in transforming computing by leading the creation, oversight, and advancement of enterprise data platforms and global business workflows. You will partner with business and IT teams to deliver scalable, resilient, and future-ready data solutions, leveraging your expertise in enterprise data management, supply chain operations, data architecture/platforms, and Agentic AI. Your contributions will be vital in resolving complex issues, refining data governance and observability, and ensuring trusted, high-quality information across the supply network.

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We are seeking a Forward Deployed Engineer to join our AI Enablement team. In this role, you will embed with various business teams across Crunchyroll to understand their workflows, identify opportunities for AI and automation, and build practical AI-powered solutions. You will take problems from initial ambiguity through prototyping, production, and adoption, focusing on delivering measurable improvements in speed, quality, cost, or employee experience. This position requires a blend of strong business acumen, consultative problem-solving, and hands-on engineering to create reliable and scalable AI systems, including agents and workflow automation, that integrate with existing tools and data.

$183k - $229k

Nebius is building a full-stack AI cloud platform to support developers and enterprises from data and model training through to production deployment. This role is crucial for bridging the gap between complex customer ML workloads and the platform's capabilities. You will prototype AI use cases, accelerate customer adoption, and provide valuable field insights to shape the product roadmap. This position blends deep ML engineering with significant product impact, involving hands-on work with customer ML stacks and building prototypes of emerging AI techniques.

$0k - $350k

Nebius is seeking a Sr. Solutions Engineer to serve as the primary technical partner for customers deploying and operating GPU clusters and AI infrastructure on the Nebius platform. This role involves bridging customer requirements with internal engineering capabilities to ensure successful deployment, stable operations, and ongoing optimization of complex, high-performance environments. You will be instrumental in supporting customers, investigating and resolving complex issues, and contributing to the continuous improvement of our systems.

$180k - $220k

Nebius is a leading cloud infrastructure provider for the global AI economy, building a full-stack AI cloud platform. We are seeking a Senior Customer AI Engineer to join our Token Factory team. This role focuses on helping customers successfully transition their AI workloads from proof-of-concept to production and scale them on Nebius infrastructure. You will operate at the intersection of engineering, delivery, and customer success, ensuring reliable, performant, and cost-efficient deployments. You will collaborate closely with customer engineering teams, Solution Architects, and Product/Infrastructure teams.

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Nebius is building a full-stack AI cloud platform to support developers and enterprises in the global AI economy, from data and model training through to production deployment. The Nebius Token Factory is seeking scientists to tackle frontier LLM and VLM inference bottlenecks by turning them into research questions, conducting rigorous experiments, and translating findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts for engineers to build upon. Your research will cover areas like quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will evaluate trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and collaborate with engineering teams to bring promising results into production.

$195k - $262k

Nebius is building a full-stack AI cloud platform to support developers and enterprises from data and model training through to production deployment. We are looking for a Lead Software Systems Engineer - GPU Performance to play a key role in building our hyperscaler platform. This role involves analyzing and optimizing the performance of large-scale GPU clusters at the intersection of hardware and software, operating across the full stack from hardware and system software to networking, virtualization, and distributed communication layers.

$170k - $300k

Tavily is building the search engine for AI agents, powering agentic applications and real-time reasoning by connecting LLMs to high-quality web content. As a Forward Deployed Engineer, Enterprise, you will work directly with Tavily’s largest and most strategic customers to design, prototype, and deploy production-grade AI systems powered by Tavily’s API. You will own the technical relationship across the customer lifecycle, helping enterprise teams move from early use case exploration to deployed, scalable agentic applications. This is a full-time, on-site role based in our New York office.

$180k - $224k

Turing

Turing is seeking a Senior Full-Stack Engineer to join their team in Mumbai, India. This hybrid role involves building and supporting enterprise AI systems and applications for clients, particularly in asset management. You will take ownership of complex features from design through deployment and production support, working across the Python backend, React frontend, APIs, integrations, and database layers. The role emphasizes hands-on engineering, independent judgment, and the use of AI-enhanced development tools like Claude and Codex, with a strong focus on delivering maintainable and production-ready software.

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Nebius is building an agent-native search platform designed specifically for AI systems, providing programmatic, low-latency, and observable search APIs for AI agents to retrieve, filter, and reason over real-world information at scale. We are seeking a Staff Software Engineer to focus on the runtime systems of this novel search engine, ensuring it can serve search queries in real time with high throughput and low latency. This role is critical for product quality, requiring optimization across all layers from request handling to data access and response assembly.

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D-ID is at the forefront of the agentic revolution, creating Natural User Interfaces (NUI) with hyper-realistic, interactive avatars for AI agents, assistants, and co-pilots. Our enterprise-grade streaming API enables human-like interactions, enhancing trust and redefining AI-powered communication. Since 2017, we've been backed by tier-1 VCs and have seen over 180 million videos created with our technology, with more than 280,000 developers building solutions using our API. We are seeking an exceptional Full Stack Developer to join our world-leading team in building high-impact products using state-of-the-art technology, working alongside talented and motivated individuals passionate about pushing the boundaries of AI.

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As an AI Architect, you will design and guide production-ready Generative AI solutions for clients, from early discovery through implementation. This role combines hands-on architecture, technical leadership, and client collaboration. You will help teams choose where Generative AI adds value, build secure and scalable solutions, and measure their quality and cost in production. You will lead the architecture and delivery of Generative AI solutions, guiding development teams on relevant tools, frameworks, and platforms, and translate business requirements into robust application, service, and target-state architectures, including reusable RAG, agent orchestration, prompt, and evaluation patterns. You will own scalability, performance, latency, observability, security, and cost optimisation across AI solutions, and lead technical design and code reviews, guiding delivery against client needs and quality standards. You will also define the right adaptation approach for each use case—prompting, RAG, fine-tuning, or distillation—including when Generative AI is not appropriate.

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Nebius is building a novel search engine designed for AI systems, focusing on providing programmatic, low-latency, and observable search APIs. We are seeking a Staff Software Engineer to lead the development of content acquisition and crawling infrastructure. This role involves building scalable systems to discover, fetch, and refresh content from the web and other large data sources, managing billions of URLs and high-throughput data flows to ensure fresh, high-quality content for downstream AI systems.

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We are seeking a Senior AI Developer to join our CEE IT Digital Solutions team and contribute to building high-quality enterprise AI solutions. You will collaborate with a diverse team of developers, business analysts, project managers, and security experts to design, develop, deploy, and support AI-based solutions, primarily leveraging the Microsoft Power Platform and Azure ecosystem. This role is perfect for a hands-on developer with substantial experience in Microsoft Copilot Studio, Microsoft Foundry, AI agents, Azure services, and modern AI engineering frameworks, capable of rapid prototyping, delivering MVPs, and building production-ready solutions while adhering to strong engineering, security, and delivery practices.

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