Senior Applied AI Engineer at Kastle | San Francisco

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…

About KastleKastle is revolutionizing the AI landscape in consumer lending. We collaborate with some of the nation’s leading mortgage lenders to enhance their contact centers and compliance operations utilizing cutting-edge AI voice agents.Supported by prominent investors including Y Combinator and Commerce Ventures, as well as seasoned professionals from Snapdocs, Google, and WePay, we are transforming the way millions of borrowers engage with financial institutions and how lenders operate efficiently at scale.This is a unique opportunity to join a pioneering team at the forefront of innovation, working with large-scale clients and real-world applications.Your RoleDesign and manage core systems that facilitate real-time AI voice and compliance workflows.Enhance performance metrics, achieving sub-700ms latency through event-driven architecture and parallel processing techniques.Deploy, maintain, and scale robust systems using Kubernetes and distributed subsystems.Develop a self-evolving AI system that learns from each customer interaction and integrates human feedback.Deliver rapid development from initial design concepts to live production within financial environments.Why Join Kastle?Impactful Work: Your contributions will directly influence borrower interactions at scale.Entrepreneurial Spirit: Enjoy significant ownership and autonomy over product, technology, and company culture.Rapid Learning: Gain daily insights from customer interactions and feedback loops.Attractive Compensation: Competitive salary, meaningful early-stage equity, and an opportunity to shape a category-defining company.Outstanding Team: Collaborate with a world-class founding team from companies like Verkada, NVIDIA, Apple, and Redfin.

About KastleKastle is revolutionizing the consumer lending landscape by developing an AI operating system, starting with the mortgage sector. We partner with some of the largest mortgage lenders in the United States, enhancing their contact center and compliance operations through innovative AI-driven voice agents. Supported by leading investors such as Y Combinator and Commerce Ventures, along with industry veterans from Snapdocs, Google, and WePay, we are at the forefront of redefining lending with artificial intelligence.About the RoleAs a Forward Deployed Engineer, you will take on the role of technical owner and project lead for our most significant accounts. Your responsibilities will involve immersing yourself with customers, translating their business workflows into production-ready AI agents, and overseeing the customer relationship as well as the strategic roadmap.ResponsibilitiesDevelop, configure, and deploy AI agents on Kastle’s platform to manage actual borrower workflows.Write high-quality backend and full-stack code (Python, Java, TypeScript) to integrate with loan servicing systems, data sources, and telephony platforms.Oversee the complete agent development life cycle: rapidly prototype, establish CI/CD pipelines, monitor live usage, iterate towards goals, and document best practices to expedite future projects.Clarify ambiguous customer requests, quickly prototype solutions, and evolve them into stable deployments.Serve as the technical representative of Kastle for key accounts, fostering trust through speed, empathy, and tangible impact.Incorporate customer insights back into the core product, influencing the development roadmap and reusable tools.What We’re SeekingA minimum of 1 year of engineering experience, along with at least 1 year of customer-facing experience.Expertise in Python, Java, or similar languages; comfortable building APIs and backend systems.Outcome-oriented mindset: prioritizing customer value and problem-solving over perfect abstractions.A strong work ethic with exceptional attention to detail; capable of independently managing projects from start to finish.Customer-focused: confident in engaging directly with business leaders as well as engineers.Preferred QualificationsExperience in a customer-facing engineering role (forward deployed, solutions engineering, etc.).Interview ProcessInitial screening interview with HR.Technical assessment involving coding challenges and system design discussions.Final interview with team members to assess cultural fit and alignment with company values.

About KastleKastle is pioneering the AI operating system for consumer lending, partnering with leading mortgage lenders across America to revolutionize their contact centers and compliance operations through AI-driven voice agents.Supported by Y Combinator, Commerce Ventures, and industry leaders from Snapdocs, Google, and WePay, we are transforming the way millions of borrowers engage with financial institutions.This is a unique opportunity to join a rapidly growing company that is already engaged with major clients and impactful production use cases.About the RoleWe are seeking a dynamic Enterprise Account Executive to bring Kastle’s innovative solutions to the boardrooms of the nation’s most sophisticated financial institutions and convert conversations into actionable deployments.This role demands a strategic mindset, a consultative sales approach, and the ability to navigate intricate enterprise sales cycles. You will play a crucial role in introducing our state-of-the-art AI agents into the operations of the largest banks and lenders in the country.As you excel in this role, you will also be tasked with building a high-performing go-to-market team to ensure Kastle's leadership in consumer lending across North America.Location preference: San Francisco, CA.What You’ll DoCreate and implement strategic sales plans to engage key accounts in mortgage lending, servicing, and consumer banking.Craft, execute, and successfully manage RFPs to deploy AI Agents within lenders' operations.Navigate complex, multi-stakeholder sales processes (C-suite, InfoSec, legal, and procurement) within large enterprise organizations.Predict sales activities and revenue outcomes.Generate and qualify outbound leads through proactive prospecting and networking efforts.Stay informed about industry trends to identify new opportunities and maintain a competitive advantage.Contribute to the refinement of our sales strategies and processes as we grow.Collaborate with founders and engineers to design and present tailored solutions.Help develop content and narratives that enhance enterprise credibility (case studies, articles, event presentations).Why Join KastleBe a part of reshaping the future of consumer lending in one of the fastest-growing AI companies in the financial services sector.

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.

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.

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.

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.

Role Overview Arcade is looking for a Senior Applied AI Engineer in the San Francisco Bay Area. This position focuses on building solutions that use artificial intelligence to improve user experiences across Arcade’s products. What You Will Do Work with cross-functional teams to design and develop AI-driven features. Apply expertise in AI algorithms and software development to solve challenging problems. Contribute to the direction and impact of Arcade’s AI initiatives. Who We’re Looking For Extensive experience with artificial intelligence technologies. Strong background in software development and AI algorithms. Comfort working collaboratively with teams from different disciplines.

Join Us in Shaping the Future of AI!If you are passionate about our innovative work but don't see a specific role that fits your profile, we encourage you to apply here. At Applied Compute, we prioritize collaborating with exceptional individuals who resonate with our mission.About UsWe specialize in developing Specific Intelligence for enterprises, creating agents that perpetually learn from a company's processes, data, expertise, and objectives. Despite advancements in AI, there remains a significant disparity between the capabilities of AI models in isolation and their performance within real-world business contexts. Our solution is to build a continual learning layer—a platform that captures context, memory, and decision pathways across enterprises, enabling specialized agents to effectively perform tasks.Our ExcitementWe operate at an extraordinary intersection of innovation. Our product team designs the platform that fuels a new generation of digital colleagues, while our research team explores the cutting-edge of post-training and reinforcement learning to enhance product experiences. Our applied research engineers collaborate closely with customers to implement models in production. This unique blend of strong product focus, in-depth research, and hands-on engagement with customers is essential for integrating AI into enterprises. We pride ourselves on being product-led, research-enabled, and forward-deployed.Our TeamOur team comprises engineers, researchers, and operators, many of whom are former founders. We have experience building RL infrastructure at OpenAI, data foundations at Scale AI, and systems at Together, Two Sigma, and Watershed. We collaborate with Fortune 50 clients, including DoorDash, Mercor, and Cognition, and are supported by renowned investors like Benchmark, Sequoia, and Lux.Who Thrives HereWe seek individuals eager to apply groundbreaking research and complex systems to tackle real-world challenges. You should be adept at quickly navigating unfamiliar environments, whether it's a new codebase, a customer's data architecture, or an entirely new problem domain. A genuine passion for working with customers—listening, empathizing, and understanding their organizational workflows—is essential. Those with a background as former founders, experience in numerous side projects, or a strong ability to manage tasks end-to-end typically excel in our environment.

About Cogent SecurityCogent Security is at the forefront of innovation in cybersecurity, operating as an Applied AI Lab dedicated to developing next-generation AI agents. In an era where cyber threats evolve rapidly, our "AI Taskforce" analyzes vast amounts of enterprise data to proactively address vulnerabilities and prevent significant breaches.Blending cutting-edge research with practical implementation, our team works diligently to transform theoretical concepts into actionable security solutions. Our applied AI lab, Cogent Research, provides essential research capabilities that enable the realization of autonomous security workflows.Since our emergence from stealth mode, Cogent has seen impressive growth, collaborating with Fortune 500 companies to enhance security in some of the world’s most complex environments.Supported by Greylock, we have assembled a team of top-tier talent from influential universities and leading companies in the tech and cybersecurity sectors.

About the RoleWe are seeking a dynamic intern to join our team in San Francisco, starting immediately. This is an on-site position that promises to be one of the most challenging, competitive, and transformative experiences you'll ever encounter.As a founder intern, you will collaborate closely with our founders and a small team of highly talented, driven individuals who are creating an innovative operating system for consumer lending.Your responsibilities will include:Delivering tangible products that make an impact.Engaging in various aspects of the business including customer support, growth, operations, engineering, and sales.Working directly with founders to facilitate their initiatives.Handling essential, albeit challenging tasks with resilience.Operating autonomously in a fast-paced and unstructured environment.Transforming ambiguous directives such as “build something that helps the company grow” into actionable systems, whether independently or by collaborating with others.

About Distyl AIDistyl AI specializes in developing robust AI systems that enhance core operational processes for Fortune 500 companies. Our strategic alliance with OpenAI, alongside proprietary software accelerators and extensive enterprise AI knowledge, enables us to deliver effective AI solutions swiftly—often within a quarter.Our innovative products cater to a variety of Fortune 500 clients across sectors, including insurance, consumer packaged goods, and non-profit organizations. As a member of our team, you will play a vital role in helping companies discover, build, and leverage value from their Generative AI investments, often for the first time. We prioritize a customer-centric approach, focusing on solving real challenges and ensuring both financial impact and enhanced user experiences.Distyl is spearheaded by experienced leaders from top firms such as Palantir and Apple, and is supported by notable investors including Lightspeed, Khosla, Coatue, Dell Technologies Capital, Nat Friedman (Former GitHub CEO), Brad Gerstner (Founder and CEO of Altimeter), and board members from numerous Fortune 500 companies.

About UsAt Applied Compute, we are pioneering the development of Specific Intelligence for enterprises, creating agents that continuously learn from a company’s processes, data, expertise, and objectives. Our mission is to bridge the gap between isolated AI capabilities and their effective application within real business environments. Traditional AI systems often fall short as they lack the ability to adapt based on feedback. Our innovative continual learning layer captures context, memory, and decision-making processes across the enterprise, enabling specialized agents to engage in meaningful work.What Excites Us: We operate at the exciting intersection of product development and cutting-edge research. Our product team designs the platform that empowers a new generation of digital coworkers, while our research team drives advancements in post-training and reinforcement learning to enhance user experiences. As an applied research engineer, you will work directly with clients to implement models in production, combining robust product development with deep research insights to facilitate AI integration in enterprises.Meet Our Team: Our diverse team consists of engineers, researchers, and operators, many of whom are former founders. We have previously built reinforcement learning infrastructure at OpenAI, established data foundations at Scale AI, and contributed to significant systems at companies like Together, Two Sigma, and Watershed. We collaborate with Fortune 50 clients, including DoorDash, Mercor, and Cognition, and are proud to be backed by reputable investors such as Benchmark, Sequoia, and Lux.Who Thrives Here: We seek individuals who are passionate about applying innovative research and complex systems to solve real-world challenges. You should feel comfortable navigating new environments rapidly—be it a fresh codebase, a client’s data architecture, or an unfamiliar problem domain. A genuine enjoyment for customer interaction, empathy, and a deep understanding of their operational workflows are essential. Candidates with entrepreneurial backgrounds, extensive side projects, or a proven track record of end-to-end ownership typically excel in our environment.

Job DescriptionEmbrace the future of competitive advantage with Eragon, where we create bespoke AI systems that are meticulously tailored to understand your unique business landscape.At Eragon, we focus on developing AI models that leverage proprietary data, deployed directly within customer environments and continuously refined through real-world interactions. Our models not only respond but evolve, improving with each user engagement.We utilize a cutting-edge reinforcement learning framework known as RLQF (Reinforcement Learning from Query Feedback) that transforms user interactions into valuable training signals, establishing a cycle of ongoing enhancement that surpasses traditional fine-tuning methods.The RoleAs an Applied Research Engineer, you will be responsible for designing, training, and deploying advanced models that drive real business operations.This position is not about theoretical research; you will engage directly with customer data, constraints, and feedback, crafting solutions that excel in production settings. You will manage the entire lifecycle of the project, from defining the problem and designing data structures to training, evaluating, and iterating based on live performance.What You’ll DoTrain and adapt models: Fine-tune and post-train models on customer-specific data utilizing RLQF among other techniques.Close the loop: Convert real user interactions, corrections, and workflows into actionable training signals.Own end-to-end systems: Oversee the process from data ingestion and curation through to training, evaluation, and deployment.Evaluate in production: Create evaluation frameworks that accurately reflect real-world performance, rather than relying solely on benchmarks.Work with customers: Collaborate closely with users to comprehend their workflows and translate these into model functionalities.Ship and iterate: Focus on the continuous improvement of models based on live feedback and measurable outcomes.What We’re Looking ForExtensive hands-on experience in training, fine-tuning, or post-training machine learning models.Proficiency in handling messy, real-world data as opposed to only clean benchmarks.Familiarity with reinforcement learning techniques, feedback-driven training such as RLHF or RLAIF, and evaluation systems.Adeptness at quickly transitioning from problem identification to data management, model development, and iterative improvement.Strong engineering instincts with a comfort level in managing systems end-to-end.A proactive approach to shipping and enhancing systems, rather than solely focusing on research.