Find your next AI Engineering role

Databricks

Databricks is seeking a Staff Software Engineer for its AI Runtime (AIR) team. AIR is a managed platform designed for large-scale GPU training and fine-tuning of state-of-the-art AI models, providing customers with on-demand access to accelerators and a serverless experience. As part of this role, you will be instrumental in building and scaling the systems that ensure fast, reliable, and effortless large-scale training. You will influence the architecture and development of the managed GPU training stack, focusing on areas like scheduling, distributed training performance, fault tolerance, and the overall developer experience for operating jobs at scale. This position also involves defining the long-term technical vision for AIR, mentoring senior engineers, and collaborating with product, research, and platform teams to expand the impact of custom training at Databricks.

$190k - $265k

Deepgram is a leading platform for the Voice AI economy, offering real-time APIs for speech-to-text, text-to-speech, and building voice agents at scale. We empower over 1,300 organizations and 200,000 developers to create voice offerings powered by our advanced foundation models, accessible via cloud APIs or self-hosted solutions. Our AI-first approach means every team member is expected to actively use, experiment with, and build AI tools into their daily work, driving innovation and performance. We operate at the rapid pace of AI, requiring adaptability, continuous learning, and a proactive mindset to solve customer challenges and push technological boundaries.

$178k - $268k

Deepgram is a leading platform for Voice AI, providing real-time APIs for speech-to-text and text-to-speech, enabling developers to build production-grade voice agents at scale. We are seeking researchers who are passionate about solving customer challenges by improving our AI models. This role involves identifying model limitations, designing evaluations, curating data, fine-tuning models, and shipping solutions to production within weeks. The ideal candidate will have an AI-first mindset, be comfortable experimenting with new AI tools and models, and thrive in a fast-paced, evolving environment.

$178k - $268k

Voize is building AI companions to help frontline workers save time by automating digital workflows, allowing them to focus more on people. With significant funding and a growing user base, the company is seeking a Senior Fullstack Engineer to join its dynamic team. This role offers the opportunity to make a real impact in a fast-growing startup environment, combining cutting-edge technology with meaningful social impact.

Anthropic

Anthropic is seeking Software Engineers to join the Memory & Search team, responsible for how Claude remembers users and finds information across Claude.ai, Cowork, and Claude Code. This role involves both user-facing experiences, such as how memory is displayed and edited, and the underlying infrastructure for memory services, indexing, retrieval, and vector search. The team has recently transitioned memory to a dynamic, editable system unified across products, and improved search functionality significantly. The focus is now on developing compelling product features that leverage memory and search, requiring engineers with experience in shipping user-facing products at scale, a strong sense for product quality, and expertise in building agentic systems where models, tools, and user interfaces collaborate. You will drive product experiments, analyze usage, and contribute to the team's product-centric approach. This role also involves close collaboration with product, design, privacy, legal, and safeguards teams to ensure features meet privacy and enterprise requirements.

$405k - $485k

The Knowledge Architecture team at CoreWeave is responsible for how the Product and Engineering organization captures, structures, and shares information. This team builds internal documentation, onboarding content, and technical education programs to help engineers find answers and become productive quickly. They also establish standards and create the ontology infrastructure to maintain knowledge accuracy as the company scales. As a Knowledge Architect, you will contribute dedicated documentation and knowledge infrastructure capacity, writing and maintaining technical documentation for Product and Engineering teams, including systems documentation, workflows, runbooks, and guides. You will also build and maintain onboarding content for new engineers and work with subject matter experts to capture undocumented knowledge.

$134k - $179k

Cloudflare MCP Server Portals provide organizations with a secure, centralized method to connect AI agents to internal and third-party tools. As a Senior Systems Engineer on the MCP Portals team, you will be responsible for the design, delivery, and operation of distributed systems that handle user authentication, manage OAuth credentials and sessions, enforce Zero Trust policies, and proxy MCP traffic across Cloudflare's global network. This role involves owning complex projects that span multiple service boundaries, making critical architectural trade-offs, and guiding other engineers in delivering reliable and secure changes. You will collaborate closely with engineers and product managers from Access, Gateway, and Developer Platform teams as the protocol and product evolve. We are seeking a hands-on engineer capable of clarifying ambiguous system problems and taking ownership of production outcomes.

€66k - €91k

Alpaca is seeking a Senior Data Scientist, AI Evaluation to lead the measurement of our AI models and agents. In this senior individual contributor role, you will transform ambiguous quality questions into reliable ground truth, scoring methods, and evaluation loops that drive company-wide improvements. You will leverage an existing data foundation to enhance quality and accelerate the safe rollout of AI systems, owning the quality bar independently. This role is ideal for someone passionate about the correctness of AI outputs as much as their generation, who can partner with Product, Engineering, Analytics Engineering, and business stakeholders to define success, build robust evaluations, and ensure feedback loops drive iteration. If you have a strong quantitative background, a proven track record of rigorous, measurable work in evaluation, experimentation, or model validation, and desire ownership of a new evaluation practice at a rapidly growing financial services infrastructure company, we encourage you to apply.

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

Prime Intellect is building the open superintelligence stack, providing infrastructure for AI labs. Their platform, Lab, unifies compute, environments, evaluations, and training/deployment for post-training at scale, including SFT, RL, and agent workflows. They are developing open-source models for long-horizon tasks and the platform their research team uses. The company has raised significant funding and is looking for individuals passionate about frontier research, infrastructure, and go-to-market strategies in a nascent category.

$150k - $350k

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. We're looking for a Staff Infrastructure Engineer to help lead core parts of our platform. You'll design, build, and scale the cloud infrastructure that powers our AI and GenAI workloads — ensuring reliability, security, and performance as we grow. This is your chance to shape the backbone of a platform trusted by Fortune 100 companies — building systems that are resilient, observable, and ready to scale with the next wave of AI.

$210k - $240k

As a Staff Forward Deployed Engineer (FDE) at Invisible, you will lead high-impact, AI-powered solutions that reshape how clients operate their most critical workflows. You will drive the strategy, architecture, and execution of end-to-end systems, working directly with clients. This hybrid role combines AI engineering, software building, and technical consulting, making it ideal for someone who wants to be hands-on with models and close to their impact. The team is increasingly focused on applied AI work, building and deploying LLM-powered and agentic systems in production.

$210k - $300k

As a Software Engineer, Forward Deployed Engineer (FDE), you will collaborate directly with clients and internal delivery teams to develop and implement AI-powered solutions that revolutionize how work is performed. You will manage projects from inception to completion, including scoping complex problems, creating prototypes for AI workflows, and deploying robust, scalable systems built on our platform. This role involves close interaction with both technical and non-technical stakeholders, blending the roles of an AI engineer, software developer, and technical consultant. It's an ideal position for individuals eager to work hands-on with AI models and directly witness the impact of their work.

$93k - $217k

As a Principal Forward Deployed Engineer at Invisible, you will lead high-impact, AI-powered solutions that reshape how clients operate their most critical workflows. You will drive the strategy, architecture, and execution of end-to-end systems, working directly with clients. This role is a hybrid of AI engineering, software building, and technical consulting, ideal for someone who wants to be hands-on with models and close to their impact. The team is increasingly focused on applied AI work, building and deploying LLM-powered and agentic systems in production, making strong ML engineering instincts a valuable addition to architecture and leadership experience.

$250k - $300k

As a Senior Software Engineer, Forward Deployed Engineer (FDE), you will collaborate directly with clients and internal delivery teams to build and deploy AI-powered solutions. You will own projects end-to-end, from scoping ambiguous problems and prototyping AI workflows to deploying scalable systems. This hybrid role combines AI engineering, software development, and technical consulting, offering a hands-on experience with models and their impact.

$180k - $264k

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

Domino builds AI solutions for large, highly regulated organizations to accelerate mission-critical use cases. Our platform offers streamlined model and app development, advanced hosting capabilities, and novel governance for regulator-ready AI at scale. Customers use our software to solve significant global challenges, from developing new medicines to securing financial markets and protecting countries. We are a well-backed company with the spirit of a startup, focused on inventing the future of AI. As an AI Solutions Engineer, you will work directly with customers to understand their problems and design solutions on our platform. You will collaborate with data science and ML teams to shape ideas into technical approaches and build prototypes, demos, and proof-of-concepts. Your focus will be on the technical solution, while account executives manage the commercial relationship. You will also provide customer insights to Product, Engineering, and Marketing teams to help shape the platform's future.

$200k - $250k

Cloudflare is seeking a Principal Customer Engineer to drive our technical go-to-market strategy. In this role, you will act as a trusted technical advisor and architect for clients, guiding them through the entire customer journey from pre-sales validation to onboarding, deployment, and lifecycle expansion. You will bridge the gap between technical strategy and business value, leveraging AI-augmented workflows to focus on high-value architectural design and measurable business outcomes. This position is quota-carrying and requires a proactive approach to identifying and solving complex technical challenges.

€138k - €197k

At Cloudflare, we are looking for builders who are passionate about improving the Internet and have a curiosity for creating solutions with the latest AI tools. Our culture emphasizes iteration, leveraging AI to ship faster, and sharing knowledge to elevate the entire team. This role is for a technologist who enjoys collaborating with innovative companies, from founding engineers to CTOs, to help them build the next generation of Internet products and AI initiatives. You will be comfortable discussing technical architectures and strategic roadmaps, acting as a technical evangelist for the Cloudflare Developer Platform.

$214k - $336k

At Cloudflare, we are building industrial-scale AI agents to directly support customers, moving beyond research to deliver real-world impact from day one. This role involves assembling existing Cloudflare technologies like Workers, Durable Objects, KV, R2, D1, Vectorize, Workers AI, AI Gateway, and the Agent SDK into functional agents that customers will use daily. The primary goal is to ship production agents on the Cloudflare stack, iterating rapidly through building, deploying, and learning. Your code will serve as the primary interface for Cloudflare customers interacting with these AI capabilities.

We are seeking a Software Engineer to join our Agentic Discovery team, focusing on building the core systems, protocols, and customer-facing tools that power agent-web interactions. This role involves designing and shipping scalable software across edge infrastructure, data pipelines, protocol layers, and developer tooling. You will work on cutting-edge standards like WebMCP, MCP, AEO, and agent-native controls, enabling content owners to manage how autonomous AI agents discover, parse, and safely execute tasks on their digital properties.

€54k - €75k

We are seeking a Senior Software Engineer to join our Agentic Discovery team, focusing on building the next era of the Internet for AI agents. This role involves defining the architecture, core protocols, and multi-team standards that power agent-web interactions. You will act as a technical anchor and subject matter expert, shaping product roadmaps, mentoring engineers, and writing technical specifications to drive execution across multiple teams. The position emphasizes engineering excellence in edge infrastructure, data pipelines, protocol layers, and developer tooling, aiming to build resilient systems and reduce complexity.

€66k - €91k

Cloudflare's Engineering Team builds and runs the software that handles large amounts of requests on the Internet today, as well as the internal tools and platforms that run that software. The Engineering Platform and Productivity team is chartered to build a self-service, resilient, and scalable platform using a combination of Open Source projects, intellectual property, and internal infrastructure. This role includes both software engineering and DevOps operational responsibilities, with a focus on Agentic Engineering. You will be building and managing tools to help engineers deploy and operate the services that make Cloudflare work, providing a reliable, yet flexible, platform to help product teams release new software efficiently and safely. The ideal candidate will care deeply about providing other engineers with an excellent development experience.

This Senior Oracle Security and AI Engineer will be primarily responsible for the Oracle Fusion security architecture, role design governance, and oversight of the Risk Management Cloud service and AI initiatives. The Engineer will serve as a hands-on expert for the technical administration, environment management, and platform integrity of the Oracle Fusion ERP Cloud environment. This role operates as a technical owner for Oracle Fusion Applications, Security, and the underlying Cloud and AI Infrastructure, focusing on building and deploying AI-driven tools and automation scripts to enhance platform security and optimize governance workflows.

Cloudflare is seeking an Engineering Manager to lead a team focused on AI and Internet Data Insights. This role is within the Emerging Technologies & Incubation (ETI) department, responsible for building and launching new products. The team operates at the intersection of AI, search, retrieval, data insights, and product engineering, addressing emerging challenges in how AI agents discover and interact with the internet. Cloudflare's unique network position allows for solving problems at massive scale, improving content discoverability, and transforming internet signals into valuable customer experiences. The ideal candidate will be deeply technically credible, capable of understanding complex systems, challenging architectural decisions, and stepping in to solve technical problems when necessary. Success will be measured by the team's output, engineer development, and the quality of delivered systems and products.

Cloudflare MCP Server Portals provide organizations with a secure, centralized method to connect AI agents to internal and third-party tools. As a Systems Engineer on the MCP Portals team, you will be responsible for building and operating the distributed systems that handle user authentication, OAuth credential and session management, Zero Trust policy enforcement, and MCP traffic proxying across Cloudflare's global network. You will manage projects from their initial design through to their rollout and ongoing production support, collaborating with engineers and product managers from various teams. The ideal candidate will be adept at making sound technical decisions, navigating complex system problems, and taking ownership of the services they develop.

€54k - €75k

Cloudflare's Enterprise Integrations Engineering Team designs, builds, and maintains integrations across the SaaS applications used throughout the organization. We are increasingly applying AI, from agentic workflows to LLM-assisted development and automated diagnostics, to build integrations faster, operate them more reliably, and reduce manual toil across the team. Our mission is to create scalable, reliable, and intelligent systems that ensure data flows securely and efficiently between platforms, and to use AI as a force multiplier for how we design, build, and support that work. Our team is highly collaborative, values continuous learning, and supports each other through shared ownership and open communication. We work closely with both technical and business teams, conduct regular retrospectives, and are actively evolving how AI tooling changes the way we plan, build, test, and troubleshoot integrations.

The Developer Productivity team at Cloudflare builds internal tools and platforms to enhance the velocity and developer experience for Cloudflare's engineering teams. This role is responsible for AI-assisted development across all of Cloudflare engineering, with significant adoption growth in the past year. As a Software Engineer on this small, high-impact team, you will have substantial ownership from day one. You will help build and operate internal platforms that enable Cloudflare engineers to develop, deploy, and run software safely and efficiently, working across developer tooling, CI/CD, GitOps, and AI-assisted development, including MCP servers, agents, evals, and context engineering. Additionally, you will contribute to governing and enforcing Cloudflare’s Engineering Codex by translating engineering standards into automated guardrails, paved paths, and actionable feedback.

At Cloudflare, we are building industrial-scale AI agents to directly support customers, moving beyond research to deliver real-world impact from day one. This role involves assembling existing Cloudflare technologies like Workers, Durable Objects, KV, R2, D1, Vectorize, Workers AI, AI Gateway, and the Agent SDK into functional agents that customers will use daily. The primary goal is to ship production agents on the Cloudflare stack, iterating rapidly through building, deploying, and learning. Your code will serve as the primary interface for Cloudflare customers interacting with these AI capabilities.

You will design and build the core infrastructure that powers AI inference across Cloudflare's global network. This includes real-time voice, frontier open LLMs, and customer-deployed models running on a heterogeneous fleet of GPUs and next-generation accelerators. You will work alongside AI/ML engineers, hardware partners, and Cloudflare product teams to solve complex problems in distributed systems and high-performance computing. The role involves addressing challenges such as sub-second model cold starts, multi-accelerator workload scheduling, efficient KV cache management, and developing a model deployment platform for both internal use and customer models. This is an opportunity to be at the center of building a novel AI inference platform embedded in the fabric of the internet, defining how AI runs at the edge of the network.

AI inference is becoming core infrastructure, and AI Gateway is Cloudflare's solution to provide developers with reliable, observable, secure, and cost-controlled access to multiple AI models across various providers, all at the network edge. This is a hands-on individual contributor role focused on building this critical layer. You will work across the entire stack, from distributed systems and high-throughput APIs to developer-facing tools like SDKs and dashboards, shaping how developers build and operate AI applications on Cloudflare. The ideal candidate thrives in the fast-paced AI ecosystem, building durable infrastructure amidst rapidly changing APIs and models, and is excited about using AI to improve the software development process itself.

$194k - $266k

Cloudflare's Emerging Technologies & Incubation team builds and launches bold new products on Cloudflare’s edge network. This role is on the Durable Objects team, which powers stateful serverless applications for Cloudflare customers. You’ll help evolve the runtime and the low-level routing and storage systems that support real-time chat, multiplayer games, AI agents, and other stateful workloads at scale. We are looking for builders who see the cracks in the Internet and have the curiosity to create solutions using the latest tools, leveraging AI to ship faster and make things better.

We are seeking a visionary and hands-on Lead Machine Learning Engineer to join our Austin team. In this role, you will be the principal architect behind the next generation of our unified AI/ML platform, designing and building the infrastructure that powers everything from traditional predictive models to generative AI, large language models (LLMs), and autonomous agent frameworks. You will own the end-to-end technical strategy, blueprint, and execution of scalable backend services and data pipelines that support AI-driven applications across go-to-market, engineering, and product teams. Because our products are initiated and owned entirely within the team, you will drive the vision from initial requirements and system design to global deployment, optimization, and long-term evolutionary ownership.

You will help define how machine learning models run across Cloudflare’s global network, from frontier open LLMs and real-time voice models to customer-deployed models served on heterogeneous GPUs and next-generation accelerators. You’ll work with systems engineers, product teams, hardware partners, and AI/ML engineers to bring models into production with low latency, strong reliability, and efficient resource use. This role combines applied ML, inference optimization, evaluation, and production engineering, with a focus on benchmarking models, improving serving performance, validating quality, and building tooling that helps Cloudflare and its customers ship AI applications at Internet scale.

We are seeking an experienced Data Engineer to join our Austin team and contribute to the development of our internal data products. In this role, you will build data-driven applications that empower various teams across the company, including go-to-market, engineering, and product. You will be involved in the entire product lifecycle, from defining requirements and designing features to implementation and ongoing ownership. You will focus on creating scalable and reliable systems to address critical business challenges, collaborating with full-stack engineers on new features and managing the data pipelines and services that support our applications. Our technology stack is diverse, encompassing languages like Go and Scala, and technologies such as ClickHouse, with continuous evolution. Many of our products also integrate significant AI components, offering opportunities to develop advanced, AI-ready data layers and work with modern AI infrastructure and tools like vector databases, MCP-based services, and Workers AI.

Customer Engineers on the Digital Native Enterprise team work with Cloudflare's most innovative and high-growth accounts. This role focuses on both the acquisition of new Digital Native accounts and the expansion of existing ones. The ideal candidate is a builder with a deep technical foundation and a commercial mindset, capable of engaging from the engineer in the weeds to the executive in the boardroom across Application Development, Performance, Security, and Infrastructure. As a Customer Engineer, you are a technologist embedded within the GTM organization. You own the technical relationship from initial discovery through onboarding, adoption, renewal, and expansion, delivering architectural value and measurable business outcomes across the entire customer lifecycle.

$214k - $336k

Cloudflare is seeking a Senior Customer Engineer specializing in AI and Start-Ups to join their team in Los Angeles. This role involves working with innovative, cloud-native companies and their technical leaders to integrate Cloudflare's Developer Platform into their products and AI initiatives. You will be a technical evangelist, comfortable engaging with developers, architects, and CTOs, translating customer needs into solutions using Cloudflare's offerings like Workers, Durable Objects, Workers AI, R2, and Vectorize. This is a pre-sales role focused on technical discovery, solution design, and driving adoption within the digital-native segment, requiring a builder's mindset and a strong understanding of modern web development and AI trends.

$231k - $300k

We are seeking a highly skilled AI Security Research & Red Team Engineer to join our Security Threat Detection, Response and Emulation organization. This critical role will be at the forefront of protecting our company and customers from malicious threats. You will be responsible for driving security research, exercises, and activities that emulate real-world attackers and attacks to improve Cloudflare’s security posture, with a specific focus on AI, Agents, harnesses, and LLMs. You will act as a technical leader, fostering a culture of curiosity and ethical hacking, and translating complex technical exploits into risk-based narratives for leadership.

$166k - $208k

We are seeking a Staff Software Engineer to focus on data querying and access control. This role is critical as it sits at the intersection of data retrieval and security, ensuring that every data read in Asana is both accurate and fast. You will be instrumental in maintaining these guarantees as our largest customers expand their data domains, develop more complex permission structures, and as AI agents become a significant new type of user accessing our systems. The Query and Access Control team is responsible for the query execution path over the Work Graph and its governing permissioning model. As a staff engineer, you will tackle our most challenging technical problems, driving initiatives that span multiple teams and influencing design decisions for years to come. You will collaborate closely with other core infrastructure teams to uphold customer trust in Asana as their platform for critical workflows.

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