Find your next AI Engineering role

We are seeking an AI and data architect to design and deliver AI applications that run directly on client data within Snowflake, utilizing Snowflake Cortex. The ideal candidate understands that a strong data foundation and governance are crucial for effective AI models. You will be responsible for the end-to-end development of Cortex-powered applications, from initial architectural design to production deployment, collaborating with clients and engineers to translate abstract concepts into usable systems.

The Voyage AI team at MongoDB is building state-of-the-art embedding models and rerankers for accurate and efficient unstructured data search and retrieval, crucial for RAG, recommendation systems, and semantic search. This team, comprised of AI researchers from top universities, was recently acquired by MongoDB and is integrating its advanced embedding models with MongoDB's data platform to create powerful end-to-end solutions. We are seeking a Staff Research Scientist to contribute to the development of next-generation AI models, tackling complex challenges at the intersection of machine learning research and the practical deployment of large neural networks.

$151k - $297k

Figma is seeking a hands-on engineering leader to manage and grow its AI Infrastructure team. This team builds the foundational inference systems that power Figma's AI products, ensuring reliability, observability, and seamless integration of cutting-edge models. The role involves defining and executing technical strategy, collaborating across engineering, and directly contributing to the core AI platform. This is an opportunity to join a rapidly growing team at the ground floor and shape the future of AI at Figma.

$258k - $376k

Anthropic

Anthropic's customer-facing teams are often the first place a customer sees what Claude can do. As a Demo Engineer, you'll build the demos, reference implementations, and reusable tooling that help those teams make new capabilities tangible, relevant, and trustworthy, ideally within days of a product launch rather than weeks after. This role sits between product engineering, technical storytelling, and GTM execution. You'll own ambiguous, high-leverage problems end to end: prototyping an agentic experience for a new capability, then hardening it into something reliable that other teams can run on their own. You'll work closely with Product, Engineering, Marketing, Operations, and our sales and solutions teams, and you'll bring what you learn from customer-facing work back to the people building the products. Because a demo is frequently someone's first impression of what our models can and can't do, accuracy and honesty matter as much as polish. Success in this role looks like customer-facing teams demonstrating new capabilities sooner and with more confidence, recurring requests becoming reusable assets rather than one-off projects, and field insights shaping product and launch-readiness decisions.

$240k - $315k

As a Developer Platform engineer at Notion, you will contribute to the foundational elements that make Notion extensible and connected. You will build tools, APIs, and platform experiences enabling customers to integrate Notion with their external applications, data, and workflows. Your work will empower developers, admins, and builders to create reliable integrations and automations, making it easier to bring their apps and data into the Notion workspace. You will be a key player in establishing the robust technical foundation for Notion's connected workspace vision, contributing to both internal platform improvements and end-user-facing functionality. This role involves tackling complex technical challenges to ensure the long-term quality, reliability, and performance of Notion's platform as it scales.

$179k - $200k

Discovery is seeking an AI & Agentic Platform Engineer to join their expeditionary force. This role involves taking unproven concepts and building the analysis or prototype to test them, working on challenges across autonomy, sensor analysis, and battle space management. The team focuses on moving AI models from research into production, specifically onto classified platforms and edge hardware where reliability is paramount. Rigorous and repeatable evaluation of model performance is critical as the model portfolio and classified work expand.

$253k - $336k

Amplitude is seeking a Staff Software Engineer to join their Query team, focusing on their in-house OLAP engine, Nova. This role is critical for powering AI agents that autonomously ship features and make prioritization calls by ensuring Nova can handle trillions of events in real-time. You will work across the full stack of this modern OLAP system, driving improvements in performance, cost-efficiency, and reliability. This is an opportunity to influence technical direction, mentor other engineers, and make a significant impact on a system that directly serves thousands of customers.

$198k - $299k

Genmo is a research lab developing sophisticated 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 focus on alignment and post-training techniques for large-scale video generation models. This role is at the forefront of ensuring our diffusion-based video models reliably produce high-quality, physically accurate, and safe outputs that align with human preferences and values.

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.

Amplitude is seeking a Staff Software Engineer to join their Query team, focusing on their in-house OLAP engine, Nova. This role is critical for powering AI agents that will autonomously ship features, run experiments, and make prioritization calls. You will work across the full stack of a modern OLAP system, including query planning and execution, columnar storage, distributed compute, caching, and cloud infrastructure. The goal is to drive significant improvements in performance, cost-efficiency, and reliability at scale, ensuring Nova can handle the increasing demand from non-stop AI agents. This position offers the opportunity to influence technical direction, mentor other engineers, and make a tangible impact on a system that serves thousands of customers.

$198k - $299k

Prime Intellect is building the open superintelligence stack, a platform designed to unify compute, environments, evaluations, and high-performance training for AI labs. Their platform, Lab, supports full-stack systems for post-training at frontier scale, including SFT, RL, tool use, agent workflows, and continuous model improvement. They are focused on creating open-source models for long-horizon tasks like autonomous research and the platform their own research team uses. The company aims to provide AI companies and research teams with the ability to transform their workflows, tools, and data into owned superintelligence.

$150k - $300k

Browserbase is seeking a Software Engineer to join the Agent Platform team. This team operates at the intersection of AI and open source, building developer tools that make browser automation smarter, simpler, and more powerful. You will be responsible for building, operating, and growing the Agent Platform framework, which includes developer-first APIs with significant monthly downloads and stars. The role involves designing and implementing tools for web automation, collaborating with leading AI labs to improve models and make them accessible, and deploying production-ready AI solutions that impact millions of users. You will also help define and prioritize projects that shape the future of developer tooling and contribute to documentation and knowledge sharing.

$180k - $300k

Turing is seeking a Senior Software Engineer to join their AI Evaluation Infrastructure team. This role focuses on building the core infrastructure that frontier AI labs use to evaluate coding agents and language models. You will be responsible for designing and implementing features across the entire stack, from data models and background jobs to user-facing interfaces. The ideal candidate is an experienced, independent engineer who can translate loosely defined requests into robust, tested, and reliable solutions. This position offers the opportunity to work on cutting-edge AI evaluation tools and contribute to the advancement of AI capabilities.

As a Senior AI Engineer, you will be at the forefront of our Generative AI initiatives, treating AI as a software engineering discipline. You will be responsible for the full lifecycle of our AI features, taking them from initial prototype to robust, scalable production services, while solving for real-world constraints like latency, error handling, and cost optimization. You’ll collaborate with a diverse range of clients to translate business needs into high-performance AI architectures. This role requires a blend of deep technical expertise in LLMs and a disciplined Software Engineering approach to ensure our solutions are robust, ethical, and scalable.

$159k - $219k

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

Ironclad is seeking a Technical Lead Manager to lead a team of engineers focused on building production generative AI systems. This role combines hands-on technical leadership with people management, involving setting the technical direction for the team and fostering engineer growth. The team will own the technical roadmap and quality bar for their systems, partnering with product management to translate business needs into technical deliverables. The Tech Lead Manager will also contribute directly through design documents, architectural decisions, and writing production code for critical problems. A key aspect of the role is staying deeply involved in the team's architecture and technical details to effectively review designs, unblock engineers, and make prioritization calls, while also setting and upholding high engineering standards for code quality, testing, and production monitoring.

$188k - $235k

Together AI

We are seeking a software engineer to develop a Kubernetes-native control plane for provisioning and managing our GPU inference fleet. This role involves designing a manifest-driven API that allows the inference team to declare their needs, such as clusters, model deployments, or capacity adjustments. Our controllers will handle the underlying reconciliation, provider/runtime selection, and lifecycle management, abstracting away the complexities of the serving stack, scheduler, or hardware pool. You will also build systems to ensure fleet efficiency, including defragmentation, rebalancing logic for consolidating workloads, and scheduling/bin-packing improvements to maximize GPU utilization without compromising latency. The core objective is to decouple platform users from operational complexities while optimizing hardware capacity. This includes developing controllers, reconciliation loops, and self-service interfaces (API/CLI) for seamless operation, alongside event-driven systems for health monitoring, remediation, and utilization management, all designed to operate without human intervention. A product-oriented mindset is crucial, with a focus on building internal platforms and APIs that enhance the developer experience for consuming engineering teams. This role operates under a "you build it, you own it" philosophy, encompassing both software delivery and production support.

$160k - $280k

Prime Intellect is developing an open superintelligence stack, providing infrastructure for AI labs. Their platform, Lab, integrates compute, environments, evaluations, secure sandboxes, and high-performance training for post-training at scale, including SFT, RL, tool use, agent workflows, and continuous model improvement. They are building open-source frontier AI models for long-horizon tasks and the platform their research team uses. The role focuses on building post-training and agent systems for national institutions, public-sector organizations, and regulated industries, addressing needs for models and agents that operate within strict boundaries for data, deployment, access, auditability, and human authority, while enabling self-improvement without external model dependency.

$150k - $300k

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 scale, including SFT, RL, tool use, and agent workflows. They are focused on open-source models trained for long-horizon tasks and the platform used to build them. The company has raised significant funding from prominent investors and is seeking individuals to work at the intersection of frontier research, infrastructure, and go-to-market strategy for a nascent category.

$150k - $300k

Prime Intellect is building an open superintelligence stack, providing infrastructure for AI labs. Their platform, Lab, unifies compute, environments, evaluations, and training for post-training at scale, including SFT, RL, tool use, agent workflows, and continuous model improvement. They are focused on open-source models for long-horizon tasks and the platform their research team uses. The company has raised significant funding from prominent investors and is looking for individuals passionate about building at the intersection of frontier research, infrastructure, and go-to-market strategy for a nascent category.

$150k - $300k

Prime Intellect is developing an open superintelligence stack, providing infrastructure that AI labs typically build internally to ambitious AI teams. Their platform, Lab, integrates compute, environments, evaluations, secure sandboxes, high-performance training, and deployment for post-training at scale, covering SFT, RL, tool use, agent workflows, and continuous model improvement. They are focused on building open-source frontier AI models trained for long-horizon tasks and the platform their research team uses. The company has secured significant funding from prominent investors and AI leaders, and is seeking individuals passionate about building at the intersection of frontier research, infrastructure, and go-to-market strategy for a nascent category.

$150k - $300k

Scale AI

Scale AI is seeking a Senior Frontier Agents Engineer to work directly with strategic enterprise customers. In this role, you will architect, integrate, deploy, and operate production AI systems, combining modern software engineering, distributed systems, cloud infrastructure, and frontier AI technologies. You will design production agent architectures, integrate with customer systems, deploy AI into mission-critical workflows, and help shape engineering best practices for enterprise AI. This position is ideal for individuals who enjoy solving complex systems problems, rapidly prototyping new AI capabilities, and bringing frontier AI into production.

$216k - $270k

Scale AI

Scale AI is seeking a Staff Frontier Agents Engineer to work directly with strategic enterprise customers. In this role, you will architect, integrate, deploy, and operate production AI systems, combining modern software engineering, distributed systems, cloud infrastructure, and frontier AI technologies. You will design production agent architectures, integrate with customer systems, deploy AI into mission-critical workflows, and help shape best practices for enterprise AI. This role is ideal for individuals who enjoy solving complex systems problems, rapidly prototyping AI capabilities, and bringing frontier AI into production.

$252k - $315k

Scale AI

Scale AI is seeking a Frontier Agent Engineer (Forward Deployed Engineering) to work directly with strategic enterprise customers. In this role, you will architect, integrate, deploy, and operate production AI systems, combining modern software engineering, distributed systems, cloud infrastructure, and frontier AI technologies. You will design production agent architectures, integrate with customer systems, deploy AI into mission-critical workflows, and help shape best practices for enterprise AI. This role is ideal for individuals who enjoy solving complex systems problems, rapidly prototyping AI capabilities, and bringing frontier AI into production.

$180k - $225k

Scale AI

Scale AI is seeking a Frontier Agents Engineer (Applied AI) to bridge the gap between cutting-edge AI research and production deployment. In this role, you will partner directly with enterprise customers to design, evaluate, and deploy intelligent systems that combine frontier models with structured knowledge, retrieval, traditional machine learning, and enterprise software. Unlike traditional ML roles, you will work across a diverse portfolio of AI challenges spanning multiple industries and use cases, building systems that automate complex workflows, help humans, reason over enterprise knowledge, and operate safely at scale. If you enjoy reading new AI papers, experimenting with the latest models, and shipping production systems that create measurable business impact, you'll fit right in.

$180k - $225k

Scale AI

Scale AI is seeking a Senior Frontier Agents Engineer to bridge the gap between cutting-edge AI research and production deployment. In this role, you will work directly with enterprise customers to design, evaluate, and deploy intelligent systems that combine frontier models with structured knowledge, retrieval, traditional machine learning, and enterprise software. Unlike traditional ML roles, you will tackle a diverse portfolio of AI challenges across multiple industries and use cases, potentially building multi-agent research systems or designing customer intelligence platforms and healthcare copilots. If you enjoy experimenting with the latest models and shipping production systems that create measurable business impact, this role is for you.

$216k - $270k

Scale AI

Scale AI is seeking a Staff Frontier Agents Engineer to bridge the gap between cutting-edge AI research and production deployment. In this role, you will work directly with enterprise customers to design, evaluate, and deploy intelligent systems that combine frontier models with structured knowledge, retrieval, traditional machine learning, and enterprise software. Unlike traditional ML roles, you will tackle a diverse portfolio of AI challenges across multiple industries and use cases, potentially building multi-agent research systems or designing customer intelligence platforms, healthcare copilots, or autonomous workflows for Fortune 100 companies. If you enjoy reading new AI papers, experimenting with the latest models, and shipping production systems that create measurable business impact, this role is for you.

$265k - $331k

Scale AI

Scale's Machine Learning Research team is at the forefront of AI development, building the foundation for next-generation AI systems. We push the boundaries of frontier models, focusing on safety, reliability, and alignment. Our work encompasses generative AI, reinforcement learning, advanced post-training methods, scalable oversight, synthetic data, red teaming, and evaluation science. We are developing a large-scale hybrid human-machine system to power ML pipelines for numerous industry-leading customers, supporting complex and advanced AI use cases. As an intern, you will contribute to impactful production ML applications and cutting-edge research, guided by world-class researchers and collaborating with leading teams across industry and academia. Interns are expected to deliver real, published, or shipped work.

$120k - $150k

Cresta is seeking a Staff Machine Learning Engineer to work on high-impact AI initiatives, focusing on next-generation agentic AI systems that augment contact center agents in real-time. This role involves leading and building these systems, requiring strong ML foundations, deep expertise in LLMs and prompting techniques, and a rapid prototyping mindset to translate research into scalable, production-grade systems. The engineer will also focus on improving the reliability, robustness, and performance of LLM-powered agents by designing evaluation frameworks, diagnosing failure modes, and defining measurable quality metrics. Additionally, the role includes architecting and scaling LLM and retrieval-augmented generation pipelines to process complex data and deliver real-time intelligence.

$230k - $300k

Cresta is seeking a Principal Solutions Engineer, AI Agent to be the dedicated expert on AI Agent technology. This role involves engaging early in the sales cycle to support AI Agent opportunities alongside the Core Solutions Engineering team. You will own the AI Agent technical narrative end-to-end, from workshop facilitation and use case design through high-stakes demos and API discovery, acting as a force multiplier to strengthen AI Agent opportunities.

$225k - $275k

Cresta is seeking a Principal Solutions Engineer, AI Agent to be the dedicated expert on AI Agent technology. This role involves engaging early in the sales cycle to support AI Agent opportunities alongside the Core Solutions Engineering team. You will own the AI Agent technical narrative end-to-end, from workshop facilitation and use case design through high-stakes demos and API discovery, acting as a force multiplier to strengthen AI Agent opportunities.

$220k - $275k

As a Senior Software Engineer, you will be responsible for ensuring Cresta's AI Agents are supported by the most reliable and scalable server solutions. This involves designing and maintaining the server architecture to handle high-volume, real-world interactions with a focus on high availability and performance. While the role emphasizes server optimization and data management over pure research, you will work with advanced cloud and server technologies. This is a significant opportunity to influence the future of AI at Cresta by tackling complex challenges and deploying cutting-edge AI advancements into production.

$205k - $270k

The team operates at the intersection of engineering, applied AI, user research, and design, moving quickly from customer problems to prototypes and validating ideas with real users. You will work across the full product development loop, identifying user needs, designing product concepts, building working prototypes, evaluating quality, and partnering with product and engineering teams to bring the best ideas into production. This is a hands-on builder role for someone who enjoys ambiguity, cares deeply about product quality, and wants to shape how AI agents are built and improved in real-world enterprise environments.

$190k - $270k

Cresta is seeking a Senior Machine Learning Engineer to join their team and work across several high-impact AI initiatives. The role involves leading and building next-generation agentic AI systems that augment contact center agents in real time, designing evaluation frameworks to improve the reliability and performance of LLM-powered agents, and architecting/scaling LLM and retrieval-augmented generation pipelines. Final team placement will be determined by experience, strengths, and business needs.

$205k - $270k

As a member of the infrastructure team, you will be responsible for designing, building, and advancing our core infrastructure. This role supports the engineering team in executing quickly, productively, and securely within a collaborative yet highly autonomous working environment. Each team member has a defined role with clear expectations and the freedom to pursue interesting projects.

$205k - $270k

The QM & Coaching Team at Cresta is seeking a Senior Fullstack Engineer to play a key role in building and scaling the no-code platform that powers Cresta’s processing capabilities. This platform empowers non-technical users to configure conversation workflows and apply automation without writing code. You will work across the stack—from building intuitive UIs to robust backend services—enabling customers to unlock value from conversations quickly and flexibly. You’ll partner with designers, product managers, and AI/ML teams to turn complex requirements into delightful and performant product experiences, and help shape the future of our no-code architecture.

Cresta is seeking an AI Agent Engineer to join their mission of creating state-of-the-art AI Agents that solve practical problems for customers. This role focuses on leveraging the latest technologies in Large Language Models (LLMs) and AI Agent systems, ensuring solutions are cost-effective, secure, and reliable. You will work closely with customers and internal engineering teams to deploy high-impact AI agents, integrate them with external systems, and provide hands-on technical expertise. This position requires strong engineering skills, adaptability, and customer engagement, making it ideal for self-driven, analytical individuals eager to apply AI in practical applications.

$185k - $235k

We are seeking a Lead Engineer, AI Agent Voice Experience to develop the next generation of AI-powered voice systems for contact centers. This role involves working at the intersection of speech, language, and real-time production systems to enhance how AI listens, understands, reasons, empathizes, and responds in live customer conversations. You will be responsible for developing and improving end-to-end machine learning systems for voice experiences, including automatic speech recognition, turn detection, agentic workflows, voice evaluation, text-to-speech, speech-to-speech models, and production optimization. Collaboration with researchers, product managers, designers, and engineers will be key to translating model improvements into measurable business impact. This position is ideal for individuals passionate about both model quality and production realities, focusing on rigorous evaluation, failure analysis, latency and robustness improvements, and shipping reliable, scalable real-time voice systems.

$205k - $270k

Cresta is seeking an AI Engineer to revolutionize go-to-market strategies. This role focuses on eliminating manual tasks, guiding teams to the most promising accounts, and building systems that enhance sales success. You will collaborate directly with the CEO, CRO, CMO, and Rev Ops leadership to design and implement an AI-native operating system for the company's revenue engine. Join us to build the future of AI-driven customer experiences.

$150k - $230k

Databricks

Databricks is seeking a Senior Software Engineer for its AI Runtime (AIR) team. AIR is a managed platform designed for large-scale GPU training and fine-tuning of AI models, providing customers with on-demand access to accelerators and a serverless experience that simplifies the complexities of provisioning, scheduling, and orchestrating multi-node jobs. As a Senior Software Engineer on AIR, you will be instrumental in building and scaling the systems that ensure large-scale training is fast, reliable, and effortless. You will lead the architecture and evolution of the managed GPU training stack, focusing on areas such as scheduling, distributed training performance, fault tolerance, and the developer experience for large-scale job operations. Beyond hands-on system development, you will contribute to the technical vision for AIR, mentor engineers, and collaborate with product, research, and platform teams to expand the impact of custom AI training at Databricks.

$160k - $225k