About UsServal is an innovative AI-powered automation platform revolutionizing enterprise operations. Our intelligent agents adeptly comprehend and execute real-world workflows end-to-end, effectively replacing outdated manual processes and rigid systems with dynamic, learning software. Established in early 2024, Serval is already a trusted partner for industry leaders including General Motors, Notion, Perplexity, Vercel, Mercor, LangChain, and Verkada, automating complex operational tasks to boost efficiency.At the heart of Serval lies an advanced agentic AI platform that transforms natural language into production-ready workflows. Our agents not only respond but also reason and take action across various systems, continually enhancing their capabilities through real-time usage. What started as a focus on operational tasks has swiftly expanded into a comprehensive AI automation solution applicable across IT, HR, Finance, Security, Legal, and Engineering.Our mission is to eradicate repetitive manual tasks within enterprises, empowering teams with intelligent automation. In the long run, we aim to establish a universal AI operations layer—a network of agents that integrates seamlessly across business functions, ensuring modern companies run smoothly.Role SummaryAs an Applied AI Engineer at Serval, you will be instrumental in developing the intelligent backbone of our platform—creating foundational AI agents that reason, act, and automate intricate IT workflows. Your role will leverage cutting-edge models and techniques to transform monotonous IT processes into sophisticated automation solutions.Your ResponsibilitiesDesign, develop, and implement AI-driven features from inception to deployment.Enhance and optimize Serval’s applied AI systems, including model selection, fine-tuning, and evaluation pipelines.Integrate AI capabilities into production settings, ensuring they are reliable, scalable, and high-performing.Collaborate with engineering and product teams to create innovative customer experiences.Regularly assess model performance and iterate on improvements based on data and user feedback.Establish industry-leading AI engineering practices and elevate the technical standards across the team.

Join Our Innovative TeamServal is at the forefront of revolutionizing enterprise operations through our AI-native automation platform. We specialize in developing intelligent agents that comprehend and execute real-world workflows seamlessly, replacing outdated manual processes and inflexible legacy systems with dynamic, learning software solutions. Established in 2024, we are proud to be trusted by industry leaders such as General Motors, Notion, Vercel, and more, to streamline high-volume operational tasks across their organizations.At the heart of our operations is an agentic AI platform that converts natural language into efficient, production-grade workflows. Our agents go beyond mere response mechanisms; they engage in reasoning, execute actions across various systems, and continually enhance their capabilities with use. Initially focused on operational tasks, our platform has swiftly expanded to serve diverse functions including IT, HR, Finance, Security, Legal, and Engineering.Our mission is to eradicate repetitive, manual tasks and empower teams through intelligent automation. Ultimately, we aim to construct a universal AI operations layer—a network of agents that integrates with business functions to drive seamless workflows and propel modern companies forward.Position OverviewAs the Senior IT Engineer at Serval, you will be pivotal in developing and refining our internal IT capabilities, utilizing our own ITSM platform as your primary toolkit. Your role will involve leading infrastructure projects and ensuring smooth daily operations as our company scales. This is a full-time, onsite position in San Francisco (5 days/week).This role transcends traditional IT responsibilities; it’s an opportunity to shape the future of IT service management. You will actively test our platform in production environments and provide valuable operational insights to our Product and Engineering teams. Your on-the-ground experiences will directly influence how our product serves IT professionals globally.

About UsServal is a pioneering AI-driven automation platform revolutionizing the operational landscape for enterprises. We develop intelligent agents that comprehend complex real-world workflows and execute them seamlessly—transforming traditional manual processes and outdated legacy systems into adaptable, learning software solutions. Established in early 2024, Serval has quickly gained the trust of industry leaders such as General Motors, Notion, Perplexity, Vercel, Mercor, LangChain, and Verkada, automating high-volume and high-friction operational tasks across their organizations.At the heart of Serval lies a sophisticated agentic AI platform that translates natural language into production-ready workflows. Our agents not only respond to requests but also reason, take action across various systems, and enhance their capabilities over time. What initiated with operational use cases has rapidly expanded into a comprehensive AI automation layer applicable across IT, HR, Finance, Security, Legal, and Engineering.Our vision is to eradicate repetitive manual labor within enterprises, empowering teams through intelligent automation. In the long run, we aim to establish a universal AI operations layer—a network of agents that spans business functions and manages the workflows essential for the success of modern companies.Supported by top-tier investors including Sequoia Capital, Redpoint Ventures, Meritech, First Round, General Catalyst, Elad Gil, and others, and founded by product and engineering visionaries from Verkada.Position OverviewAs a Forward Deployed Engineer at Serval, you will play a key role in introducing cutting-edge IT automation to some of the most intricate enterprises globally. You will engage directly with customers to transform chaotic, high-stakes workflows into dependable AI-powered systems—delivering production code that significantly impacts both revenue and product trajectory. This role is ideal for passionate builders seeking genuine ownership, tangible stakes, and a clear connection between their contributions and the company's growth.You will operate at the crossroads of product development, engineering, and customer engagement—translating real-world complexities into scalable solutions and promoting the adoption of our AI automation platform.

About UsAt Serval, we are pioneering an AI-driven automation platform that is reshaping enterprise operations. Our intelligent agents are capable of understanding and executing complex workflows end-to-end, effectively replacing outdated manual processes and rigid legacy systems with agile, learning software solutions. Established in early 2024, Serval has quickly gained the trust of industry leaders such as General Motors, Notion, and Vercel, among others, to streamline high-volume operational tasks across their organizations.Our core innovation lies in an agentic AI platform that transforms natural language into efficient, production-grade workflows. Unlike traditional systems, our agents not only respond to requests but also reason, take proactive actions across various systems, and continuously enhance their performance through usage. What began as a focus on operational use cases has swiftly evolved into a versatile AI automation layer, applicable across IT, HR, Finance, Security, Legal, and Engineering domains.We are committed to our mission of eradicating repetitive manual tasks and empowering teams through intelligent automation. Ultimately, we aspire to create a universal AI operations layer—a comprehensive system of agents that integrates seamlessly across business functions to drive modern enterprises forward.Our growth is backed by renowned investors including Sequoia Capital and Redpoint Ventures, and our founding team is composed of product and engineering veterans from Verkada.

About UsServal is an innovative AI-based automation platform revolutionizing enterprise operations. Our intelligent agents seamlessly interpret real-world workflows and execute them comprehensively, eliminating manual tasks and outdated systems with adaptable, learning software. Launched in early 2024, Serval has gained the trust of industry leaders such as General Motors, Notion, Perplexity, Vercel, Mercor, LangChain, and Verkada to optimize high-volume operational tasks.At the heart of Serval lies an agentic AI platform that transforms natural language into efficient, production-ready workflows. Our agents not only respond to inquiries but also reason, take decisive actions across various systems, and continuously enhance their functionality with ongoing use. What started with operational tasks has quickly evolved into a universal AI automation layer utilized across IT, HR, Finance, Security, Legal, and Engineering sectors.Our mission is to eradicate monotonous manual work within enterprises and empower teams through intelligent automation. In the long run, we aim to establish a universal AI operations framework— a system of agents that integrates seamlessly across business functions to drive organizational efficiency.Supported by prominent investors including Sequoia Capital, Redpoint Ventures, Meritech, First Round, General Catalyst, Elad Gil, among others, our founding team comprises seasoned product and engineering professionals from Verkada.The TeamThe Agent Deployment team is a dedicated technical unit responsible for the comprehensive execution of Serval's AI agent deployments. This organization features two tracks: Deployed Engineers, who serve as technical leads on strategic initiatives, overseeing the complete process from architecture to production; and Deployment Strategists, who manage the customer journey from implementation to adoption and growth. Both roles are technical, customer-centric, and fundamental in translating Serval's product capabilities into tangible business results.Role OverviewAs a Senior Deployment Strategist within Serval's Agent Deployment team, you will oversee the entire customer experience, from initial implementation through to ongoing adoption and expansion. You will be the primary point of contact for your clients, ensuring their success and coordinating with engineering and leadership for any escalations that arise. Deployment Strategists engage deeply with Serval's product ecosystem, crafting innovative workflows, configuring integrations, and independently resolving bugs and implementing product changes.This is a pioneering role within a team that is being established from the ground up. You should be someone who excels in a fast-paced environment, adept at swift execution across multiple projects and challenges.

About UsServal is at the forefront of AI-driven automation, reshaping enterprise operations. Our innovative platform harnesses intelligent agents capable of comprehending complex workflows and executing them seamlessly, eliminating outdated manual processes and rigid systems. Founded in early 2024, we are proud to partner with industry leaders such as General Motors, Notion, Perplexity, Vercel, Mercor, LangChain, and Verkada, facilitating the automation of high-volume, high-friction tasks across their organizations.At the heart of Serval lies an agentic AI platform that translates natural language into efficient workflows. Our agents do more than just respond; they analyze, act, and evolve with each interaction. Initially focused on operational use cases, Serval has rapidly expanded its capabilities to serve various functions including IT, HR, Finance, Security, Legal, and Engineering.Our mission is to eradicate monotonous manual tasks within enterprises, empowering teams through intelligent automation. In the long term, we aim to establish a universal AI operations layer—a network of agents that streamline workflows across business functions, ensuring that modern enterprises operate efficiently.We are backed by prestigious investors, including Sequoia Capital, Redpoint Ventures, Meritech, First Round, and General Catalyst, and founded by seasoned product and engineering leaders from Verkada.Position OverviewAs the Integrated Growth Marketer, you will spearhead the development of a dynamic marketing engine that positions Serval as the go-to solution for potential clients. You will craft and implement multi-channel campaigns that break through the noise, ignite interest, and drive demand throughout the sales funnel. Collaborating with cross-functional teams, you will translate strategic initiatives into tangible campaigns that generate meetings, influence deals, and ultimately boost revenue.

Join our Exceptional Talent Reserve at serval, where we are on a mission to innovate and lead in our industry. We are looking for highly skilled individuals who are passionate, creative, and eager to contribute to our dynamic team. This is an opportunity to be part of a forward-thinking company that values talent and encourages growth and development.

About UsServal is an innovative AI-driven automation platform revolutionizing enterprise operations. We create intelligent agents capable of comprehending real-world workflows and executing them end-to-end, effectively replacing manual processes and outdated legacy systems with adaptive, learning software. Established in early 2024, Serval has quickly gained the trust of industry leaders such as General Motors, Notion, Perplexity, Vercel, Mercor, LangChain, and Verkada to streamline high-volume, complex operational tasks across their organizations.At the heart of Serval lies an agentic AI platform that transforms natural language into actionable workflows. Our agents not only respond to requests but also reason, act across systems, and learn continuously from their interactions. What started as operational solutions has now evolved into a versatile AI automation layer applicable across IT, HR, Finance, Security, Legal, and Engineering domains.Our mission is to eradicate repetitive, manual tasks within enterprises, empowering teams through intelligent automation. Ultimately, we aspire to create a universal AI operations layer—a network of agents that spans various business functions and executes the workflows essential for modern companies.Backed by prominent investors such as Sequoia Capital, Redpoint Ventures, Meritech, First Round, and General Catalyst, and founded by experienced product and engineering leaders from Verkada, we are on a path to reshape the future of enterprise operations.

ABOUT USAt Applied Compute, we are pioneers in developing Specific Intelligence for enterprises, creating agents that learn continuously from a company’s processes, data, expertise, and objectives. Our mission is to establish a continual learning platform that captures context, memory, and decision traces throughout the organization, enabling specialized agents to perform meaningful tasks.Why Join Us: Our team operates at a unique intersection of innovation. Our product team is responsible for crafting a platform that serves as the backbone for a new generation of digital coworkers. Meanwhile, our research team explores the cutting edge of post-training and reinforcement learning to enhance product experiences. Our applied research engineers collaborate closely with clients to deploy agents effectively in real-world scenarios. This synergy of robust product development, extensive research, and direct client engagement is essential for us to revolutionize AI in the enterprise landscape.Our Team: Comprising engineers, researchers, and operations experts, our team includes many former founders with extensive experience. We have developed RL infrastructure at OpenAI, data foundations at Scale AI, and other systems at companies like Two Sigma and Watershed. We proudly serve Fortune 50 clients and are supported by top-tier investors including Kleiner Perkins, Benchmark, Sequoia, Lux, and Greenoaks.Who Thrives Here: We seek individuals passionate about utilizing cutting-edge research and complex systems to address real-world challenges. Comfort navigating diverse environments, whether it’s a new codebase, unfamiliar customer data architecture, or unexplored problem domains, is essential. Our team values genuine client engagement — listening, empathizing, and understanding the realities of work in their organizations. Those with entrepreneurial spirits, rich project experiences, or proven capabilities to manage tasks end-to-end will excel in our environment.THE POSITIONAs a Software Engineer, you will be instrumental in building the products and interfaces utilized by customers and internal teams. You will manage the entire application platform stack, from collaborative human-AI workspace systems to backend workflows orchestrating sandboxed agent sessions, and the continual learning SDK that provides engineers with oversight of the agent development lifecycle.

Who We AreServal is at the forefront of the AI-driven automation revolution, reshaping the operational landscape for enterprises. Our intelligent agents seamlessly comprehend real-world workflows and execute them end-to-end, effectively replacing outdated manual processes with dynamic, learning software solutions. Since our inception in early 2024, renowned organizations such as General Motors, Notion, Perplexity, Vercel, Mercor, LangChain, and Verkada have trusted us to streamline their high-volume operational tasks.Our core offering is an agentic AI platform that translates natural language into efficient, production-ready workflows. These agents not only respond to user inquiries but also reason, take decisive actions across multiple systems, and steadily enhance their capabilities through ongoing use. What started as a solution for operational challenges has rapidly expanded into a universal AI automation layer utilized across various business functions including IT, HR, Finance, Security, Legal, and Engineering.Our mission is clear: to eradicate repetitive, manual tasks within enterprises and empower teams through intelligent automation. In the long term, we aim to develop a universal AI operations layer — a collaborative system of agents that integrates seamlessly across business functions, facilitating the workflows that propel modern enterprises forward.We are proud to be supported by prestigious investors such as Sequoia Capital, Redpoint Ventures, Meritech, First Round, General Catalyst, Elad Gil, among others, and to be founded by seasoned product and engineering leaders from Verkada.About the TeamThe Agent Deployment team is a highly specialized technical group dedicated to the comprehensive execution of Serval's AI agent deployments. Within this organization, we have two primary tracks: Deployed Software Engineers, who lead our most critical projects, overseeing every aspect from architecture to production, and Deployment Strategists, who manage the customer experience from implementation through adoption and growth. Both roles are technical, client-facing, and integral to transforming our product capabilities into tangible business results.Role OverviewAs a Deployed Software Engineer, you will engage directly with clients, delivering features, developing new capabilities, and enhancing our product offerings within some of the most intricate enterprises globally. Your role will involve converting chaotic, high-stakes workflows into dependable AI-driven systems, deploying production code that has a significant impact on both revenue and product evolution.This position is foundational as we build a team from the ground up. We expect you to work independently, make informed decisions in uncertain situations, and represent Serval with professionalism at the highest organizational levels.

About UsAt Serval, we are at the forefront of innovation, pioneering an AI-native automation platform that revolutionizes enterprise operations. Our intelligent agents are designed to comprehend real-world workflows and execute them seamlessly, transforming manual tasks and outdated systems into adaptive, self-learning software solutions. Established in early 2024, Serval has rapidly gained the trust of industry leaders such as General Motors, Notion, Perplexity, Vercel, Mercor, LangChain, and Verkada, enabling them to automate complex operational workflows.Our cutting-edge platform utilizes agentic AI technology that translates natural language into production-ready workflows. Serval's agents do more than respond; they reason, take decisive actions across various systems, and continuously enhance their performance through user interactions. Initially focused on operational use cases, our technology has expanded into a versatile AI automation layer utilized across IT, HR, Finance, Security, Legal, and Engineering sectors.Our mission is to eradicate repetitive manual tasks throughout enterprises, empowering teams through intelligent automation. Ultimately, we aim to develop the universal AI operations layer—a system of agents that optimally manages workflows across all business functions, ensuring efficiency and innovation.Supported by top-tier investors including Sequoia Capital, Redpoint Ventures, Meritech, First Round, General Catalyst, and Elad Gil, our founding team comprises seasoned product and engineering experts from Verkada.

About UsAt Applied Compute, we specialize in developing Specific Intelligence tailored for enterprises. Our innovative agents are designed to continuously learn from a company’s processes, data, expertise, and objectives. Currently, there exists a significant disparity between the capabilities of AI models in isolation and their reliable performance within real business environments. These systems often fail to adapt to feedback. We are creating a continual learning layer: a robust platform that captures context, memory, and decision-making traces throughout the enterprise, fostering an environment where specialized agents can effectively perform real work.Why Join Us? We are at a unique crossroads in technology. Our product team is focused on developing the platform that will enable a new generation of digital coworkers. Our research team is at the forefront of advancing post-training and reinforcement learning, leading to groundbreaking product experiences. Our applied research engineers work closely with customers, assisting them in deploying models into production. This blend of strong product focus, deep research, and direct customer engagement is our belief in how to advance AI in the enterprise. We take pride in being product-led, research-enabled, and forward-deployed.Our Culture: Our team is composed of engineers, researchers, and operators, many of whom are former founders. We have developed RL infrastructure at OpenAI, created data foundations at Scale AI, and built systems at Together, Two Sigma, and Watershed. We collaborate with Fortune 50 clients, as well as companies like DoorDash, Mercor, and Cognition. We are fortunate to have backing from leading investors such as Benchmark, Sequoia, and Lux.Ideal Candidates: We are seeking individuals who are passionate about applying innovative research and complex systems to solve real-world challenges. You should feel at ease navigating unfamiliar environments—be it a new codebase, a customer’s data architecture, or an entirely new problem domain. A genuine enjoyment in working with customers—listening, empathizing, and understanding their workflows—is essential. We find that former founders, individuals with numerous side projects, or those who have demonstrated an ability to take ownership of projects from start to finish thrive in our environment.The RoleAs a Product Engineer, you will be instrumental in building the platform that supports a new era of digital coworkers, equipping human knowledge workers with the leverage similar to what coding agents provide developers today. This role is pivotal as you will manage projects from inception to completion within our continual learning platform and work closely with both Applied Research and Research Systems, ultimately helping define a new category of technology. Your work will encompass the entire technology stack, including cloud-hosted sandbox environments and enterprise-grade solutions.

WHO WE AREAt Applied Compute, we are pioneering the development of Specific Intelligence tailored for enterprises. Our innovative agents continuously learn from a company’s processes, data, expertise, and goals, creating a dynamic learning layer that captures context, memory, and decision traces. This empowers specialized agents to tackle real-world tasks effectively.Why We're Excited: We operate at a unique convergence of technology and practical application. Our product team is responsible for developing the platform that drives a new generation of digital coworkers. Simultaneously, our research team explores the cutting-edge of post-training and reinforcement learning to craft exceptional product experiences. Our applied research engineers work closely with clients to deploy agents into production, ensuring that we combine strong product development with deep research and hands-on implementation.Our Team: We are a diverse group of engineers, researchers, and operators, many of whom are former founders. Our backgrounds include building reinforcement learning infrastructure at OpenAI, data foundations at Scale AI, and operational systems at other leading tech companies. We are proud to collaborate with Fortune 50 customers and are supported by top-tier investors like Kleiner Perkins, Benchmark, Sequoia, Lux, and Greenoaks.Who Thrives Here: We seek individuals who are passionate about applying innovative research and complex systems to solve real-world challenges. Candidates should be adept at quickly navigating unfamiliar environments—be it a new codebase, a client's data architecture, or a novel problem domain. Our team values empathy and understanding in our customer interactions, so those who enjoy listening, learning, and delivering results tend to excel here.THE ROLEAs a Forward Deployed Engineer, you will engage directly with customers to deploy and integrate our platform within their technical environments. You will be responsible for constructing the infrastructure and tools necessary to transform research into production systems. This role requires ownership of customer engagements from start to finish, including architecting environments, building large-scale data pipelines, creating evaluation frameworks for model training, and ensuring our platform delivers scalable value.

About the RoleThorin is actively seeking a talented Applied AI Engineer to join our dynamic team in San Francisco. As a pivotal member of our engineering group, you will play a crucial role in laying the groundwork for our user-centric products. This position is perfect for full-stack developers who are enthusiastic about taking ownership of features from inception to deployment, delivering high-quality results swiftly.You will have the opportunity to engage with our technology stack comprehensively, developing everything from intuitive frontend interfaces to robust backend processes.This role emphasizes autonomy and responsibility, allowing you to make a significant impact on our innovative projects.Your ResponsibilitiesDevelop and launch key product features from initial concept through to production readiness.Oversee both frontend and backend development across essential workflows.Establish performance and quality standards for our high-achieving engineering team.Influence product strategy through regular feedback from users and stakeholders.Rapidly innovate within a startup environment, contributing to our zero-to-one initiatives.

Who We AreServal is an AI-driven automation platform revolutionizing enterprise operations. We create intelligent agents that comprehend real-world workflows and execute them from start to finish, effectively replacing manual processes and outdated legacy systems with adaptable, learning software. Founded in early 2024, Serval has gained the trust of industry leaders such as General Motors, Notion, Perplexity, Vercel, Mercor, LangChain, and Verkada, automating high-volume and complex operational tasks across their organizations.At the heart of Serval is an agentic AI platform that transforms natural language into production-quality workflows. Our agents don't merely respond to inquiries; they reason, take action across various systems, and continuously enhance their capabilities through usage. Initially focused on operational use cases, our platform has expanded into a comprehensive AI automation layer applicable across IT, HR, Finance, Security, Legal, and Engineering.Our mission is to eradicate repetitive, manual tasks within enterprises, empowering teams through intelligent automation. Ultimately, we aim to develop the universal AI operations layer—a system of agents that integrates across business functions to streamline the workflows essential for modern companies.Backed by prominent investors including Sequoia Capital, Redpoint Ventures, Meritech, First Round, General Catalyst, Elad Gil, and others, and founded by product and engineering visionaries from Verkada, we are on an exciting journey of growth.Role OverviewAs a Product Designer, you will collaborate closely with the founding team to construct the Serval platform from the ground up. Our focus is on user experience, and you will be tasked with creating intuitive and visually appealing interactions that unlock powerful automation capabilities.This position is based in San Francisco, California, and requires in-person collaboration.What You'll DoGain a deep understanding of complex problem spaces and develop simple, elegant design solutions.Generate innovative ideas and facilitate collaborative processes to gather input from your team.Rapidly prototype and test these ideas through mockups and interactive usability tests with customers.Partner with engineering teams to comprehend the technical limitations of projects and make practical design trade-offs.Oversee your designs through all phases: from exploratory concepts to polished, production-ready interfaces.Establish the groundwork for a flexible and scalable design system.

About RiveRive empowers designers, animators, and developers to craft interactive experiences seamlessly. Our platform combines design, animation, and coding in a single environment, ensuring what you create in the editor is precisely what gets deployed in your app, game, or website. Forget mockups, prototypes, or tedious handoffs — experience the real deal.Leading companies like Spotify, Duolingo, LinkedIn, Google, and Fortune 500 automakers utilize our open-source runtimes to create once and deploy everywhere — across websites, applications, games, and vehicles.At Rive, we break down silos, allowing designers and developers to collaborate using the same powerful tools. What you see in the editor is what you get in production.Our Perspective on AIWhile many AI tools aim to democratize artistry, our vision is to empower artists to reach their full potential.At Rive, our AI solutions don’t replace artists; they enhance their capabilities, enabling them to create custom particle systems, cloners, path effects, data connections, physics systems, and even complete games. Our focus is on eliminating barriers that restrict creativity, allowing artists to transform their visions into tangible results.We are developing a professional-grade tool tailored for designers, animators, and developers. Our goal is to elevate creativity, pushing the boundaries of what is possible.If this resonates with you, we encourage you to continue reading.The RoleWe are in search of an Applied AI Engineer to spearhead the integration and advancement of AI features within Rive's editor. Reporting directly to the CEO and CTO, your role will encompass two primary objectives:1. Enhance Rive's AI agent for designers, animators, and developers. We have developed an AI agent that assists in script writing, tool creation (including particle systems, cloners, path effects, and physics systems), data connections, and game development—all within the editor. Your mission is to refine this tool, making it more efficient and intelligent.2. Innovate AI applications within the editor. The AI landscape is rapidly evolving, with new models emerging weekly. In this position, you will be the driving force behind understanding these advancements, assessing their implications for Rive, and prototyping their potential integration into our editor. While not all ideas will come to fruition, you will constantly be exploring possibilities.Why This Role MattersRive operates at the unique intersection of design, animation, and programming. Most AI tools tend to focus on one aspect. We are seeking someone capable of navigating all three areas and identifying how AI can enhance each discipline without compromising craftsmanship.This role is dedicated and full-time; we firmly believe that AI will revolutionize the creation of interactive experiences, and we want a committed individual leading Rive in this transformation.What You'll DoDevelop innovative AI-driven workflows tailored for designers, animators, and developers within the Rive Editor.Refine the AI agent’s capabilities for writing Rive scripts (Luau), building state machines, and more.

At WilsonAI, we are revolutionizing the legal industry with our innovative product, Cursor, designed specifically for lawyers. Our platform empowers legal teams to review, negotiate, and manage contracts with unmatched speed and precision. Supported by notable investors like Nomad Ventures and Autopilot, we successfully raised a $1.7M pre-seed funding round at the end of 2024.Since our inception, we have stabilized our product with actual customers, outperformed established competitors in rigorous pilot tests, and achieved multi-six-figure revenue growth through founder-led sales. We are on the verge of a transformative opportunity to reshape the trillion-dollar legal sector using AI, and we are assembling a small, elite team to spearhead this change.The RoleWe are seeking a Founding Applied AI Engineer to play a pivotal role in the development of our core product. You will collaborate closely with our CTO to build customer-facing features and robust technical systems. Your responsibilities will include designing, developing, and deploying LLM-powered workflows that legal teams utilize daily. You will troubleshoot system failures, enhance accuracy, and ensure our models operate reliably in production environments.This hands-on position requires you to take full ownership of problems, from understanding customer needs to delivering effective solutions. You must be able to work efficiently in a fast-paced environment, make informed decisions with limited information, and be accountable for results.In return, you will gain invaluable insights into the inner workings of a high-growth AI company, with significant autonomy over critical product components.Your ResponsibilitiesDevelop and refine LLM-driven workflows for contract review, redlining, data extraction, and legal Q&A.Design and implement agent orchestration and multi-step reasoning frameworks.Diagnose and rectify model failures, hallucinations, and edge cases.Engage with customers and product teams to convert real legal challenges into dependable AI solutions.Take ownership of features from inception through production and ongoing iterations.QualificationsProven experience in building production-level LLM workflows or agent-based systems.Strong intuition regarding language model behavior and effective steering techniques.Solid foundation in computer science principles and structured problem-solving capabilities.Adept at reasoning about complex systems and anticipating potential failure modes.Meticulous attention to detail with a commitment to delivering functional solutions.Proactive, quick learner comfortable taking ownership of tasks.

About Matter IntelligenceMatter Intelligence is pioneering the future of vision AI by integrating a groundbreaking sensor capable of perceiving molecular chemistry, temperature, and 3D shapes with a Large World Model—our sophisticated intelligence engine tailored for the physical realm. This innovative system transcends mere visual perception; it comprehensively understands everything from a single pixel. We term this as Superintelligent Vision.Our distinguished team has contributed technologies to Mars missions for NASA/JPL, co-established and led infrastructure initiatives for OpenAI, developed advanced sensors for U.S. Defense, and created fundamental algorithms for spectral and 3D imaging. Together, we are committed to establishing the next frontier for vision and intelligence in the physical world.About the RoleAt Matter, we are developing technology that sits at the intersection of hardware, AI, and Earth observation. This position is uniquely positioned between Engineering and Operations.As the inaugural hire in this role, you will collaborate closely with various teams across Matter, including sensor engineers, ML researchers, satellite systems designers, sales, and leadership. Your primary responsibility will be to understand their workflows, pinpoint opportunities where intelligent agents can condense hours of work into mere seconds, and design these solutions. One week you might be crafting a multi-agent workflow for automating competitive intelligence tracking, and the next, you could be developing an internal tool that provides the hardware team with instant access to five different documentation systems. You will take ownership of challenges from discovery through deployment and continuous iteration.This position is not suited for individuals who prefer to follow a ticket queue. It is tailored for a developer with robust computer science fundamentals who can work autonomously, build trust within a demanding organization, and deliver production-grade agents that are essential to our operations.Key ResponsibilitiesAgent Development & EngineeringDesign, develop, test, and maintain production-quality AI agents and tools utilizing contemporary frameworks and APIs.Architect robust, secure, observable, and maintainable agentic systems.Create AI-native user experience patterns that facilitate seamless adoption: including human-in-the-loop checkpoints, auditability, graceful failure/rollback, and feedback mechanisms.Choose and integrate suitable tools, memory systems, and retrieval strategies tailored to each agent's specific use case.Produce clean, well-documented, version-controlled code, setting the standard for quality.Product Discovery & RequirementsEngage with stakeholders to gather requirements and translate them into effective AI solutions.

Slash Financial develops business banking infrastructure tailored for modern companies. The team blends the dependability of traditional banking with features that help businesses operate more efficiently and stay ahead in their markets. Since its start in 2021, Slash Financial has grown quickly, now processing over $10 billion in annual transactions across various industries. Backed by a recent $100M Series C led by Ribbit Capital and supported by Khosla Ventures, Goodwater Capital, NEA, and Y Combinator, the company is focused on expanding its product offerings and scaling operations. The company values in-person teamwork and maintains a hands-on culture at its San Francisco office. Role overview As an Applied AI Engineer at Slash Financial, you will join Slash AI Labs, a team dedicated to integrating AI throughout the company’s financial platform. This early-stage role shapes the direction of Slash’s AI capabilities, focusing on building production-ready AI systems within a rapidly evolving fintech environment. What you will do Develop and release full-stack AI features, including prompt engineering, agent orchestration, React interfaces, and API integrations. Enhance the agent runtime by improving orchestration, tool execution, MCP servers, graph-driven conversation states, and context compaction. Design agent experiences for web, Slack, and API-based user interactions. Create internal AI tools such as model evaluation frameworks, prompt management systems, and utilities for LLM observability. Work directly with Anthropic and OpenAI APIs, the Vercel AI SDK, and Slash’s custom orchestration layer to address tool-calling and multi-step reasoning challenges. Scale and optimize AI infrastructure, including inference routing, model tiering, prompt caching, and streaming on AWS/EKS. Requirements Experience deploying full-stack AI products in production. Strong understanding of AI technologies and frameworks. Background in orchestration and management of AI models. Ability to design applications that function across multiple platforms and interfaces. Strong problem-solving skills and comfort working in a changing environment. Location This position is based onsite at the San Francisco office.

About KastleKastle is revolutionizing consumer lending with an innovative AI operating system, beginning with mortgages. We collaborate with leading mortgage lenders across America to enhance their contact center and compliance operations through AI-powered voice agents. Supported by Y Combinator, Commerce Ventures, and industry experts from Snapdocs, Google, and WePay, we are reshaping the lending landscape using cutting-edge AI technologies.About the RoleAs a Senior Applied AI Engineer, you will play a vital role in establishing the technical backbone of Kastle's AI platform. Your responsibilities will include fine-tuning large language models, crafting AI workflows for highly regulated enterprises, and ensuring that our voice agents facilitate accurate, compliant, and effective interactions with borrowers.This position is ideal for an engineer who is passionate about applied AI, eager to tackle real-world challenges, and excited to contribute to the foundation of an early-stage AI startup.What You'll DoAI Model Integration: Fine-tune and deploy LLMs for real-time voice interactions with borrowers.Prompt Engineering: Develop and refine prompt strategies to enhance AI performance and compliance.Evaluate LLMs and AI Agents: Create high-quality evaluations using proprietary datasets to benchmark AI agent performance and conduct experiments.Custom AI Solutions: Train and implement domain-specific AI models tailored for consumer lending.Scalability & Compliance: Guarantee that AI solutions adhere to regulatory standards (FDCPA, RESPA, TILA) while scaling efficiently.Data Pipelines & APIs: Construct robust AI-driven workflows that seamlessly integrate with loan servicing platforms.Continuous Optimization: Monitor performance metrics and consistently enhance agent quality and borrower experience.What We're Looking For2+ years of experience in building and deploying ML/AI systems in production environments.Strong proficiency in Python and deep learning frameworks such as TensorFlow and PyTorch.Experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, or similar).Proven track record of delivering AI products that users rely on.Strong product mindset with the capability to translate business requirements into AI solutions.Excellent communication skills for effective collaboration across teams.