Founding Applied AI Engineer at Wilson | San Francisco

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.

Role OverviewLocation: San Francisco, CA Work Model: In-officeAbout Effective AIAt Effective AI, we are pioneering the future of work, focusing on sophisticated AI solutions for complex knowledge tasks rather than simple, repetitive functions. Our goal is to develop advanced AI Teammates that excel in intricate workflows and collaborate seamlessly with human professionals. Our initial challenge is to revolutionize the trillion-dollar U.S. Property & Casualty insurance sector, an area rich in data and complexity, ideal for our innovative approach.We have successfully secured $10 million in seed funding from prominent investors including Lightspeed Ventures and Valor Equity Partners.Our passionate team operates out of San Francisco, where we value in-person collaboration to address these pressing challenges.Your ResponsibilitiesAs a Founding Software Engineer, you will be an integral member of our founding team, significantly influencing the design and development of our core product from inception. You will confront critical challenges in agentic AI, crafting Teammates capable of managing essential insurance functions such as underwriting and claims processing.Specifically, you will:Facilitate long-term task completion by creating the foundational architecture for AI agents to plan and execute multi-step processes reliably over prolonged interactions.Develop advanced reasoning functionalities, enabling agents to make informed decisions based on ambiguous or incomplete information, akin to human experts.Create intelligent, tool-utilizing agents capable of selecting and employing a variety of external tools—APIs, databases, web searches, and Excel-based pricing algorithms—to gather information and take decisive actions.Design adaptive and learning systems, equipping our AI Teammates to learn from feedback and adjust to evolving conditions such as regulatory changes or market dynamics.Your ProfileWe seek an innovative and driven builder excited to tackle substantial challenges.You possess a solid foundation in computer science and remarkable problem-solving capabilities, evidenced by impactful projects or previous experience.Your genuine enthusiasm for AI fuels your passion for tackling complex issues.

WilsonAI is at the forefront of revolutionizing the legal industry with our cutting-edge AI platform designed specifically for legal teams. Our innovative solutions empower lawyers to work more efficiently while maintaining control over their processes, integrating AI-driven contract analysis, review, and redlining with intelligent legal insights. Backed by Nomad Ventures, Autopilot Ventures, and Entrepreneur First, we successfully raised $1.7M in pre-seed funding at the end of 2024.Since our inception, we have stabilized our product with real customers, outperformed competitors who have raised over $160M, and achieved multi-six-figure revenue. As we expand our presence in the UK and the US, we are building a small, elite team committed to transforming the trillion-dollar legal sector in the AI era.The RoleWe are seeking a Founding Marketing Lead to develop WilsonAI’s marketing engine from the ground up.This role is hands-on and content-driven, focusing on generating inbound demand, fostering self-service adoption, and establishing brand authority. While the sales team will manage outbound strategies, qualification, demos, and closing, your role will be to create synergy among these functions.You will collaborate closely with the sales team to generate qualified inbound leads, with the GTM team to drive event and partnership engagement, and with performance marketing to enhance paid acquisition efforts. Additionally, you will oversee the self-service narrative and conversion journey comprehensively.This position offers significant responsibility and ownership.Your MissionPosition WilsonAI as the go-to name in legal AI— a product that users discover, trust, and adopt without needing a sales conversation.Develop and execute a content-first marketing strategy that generates sustained inbound demand for sales, promotes self-service signups, and builds momentum over time.Manage WilsonAI’s narrative, positioning, and voice across all channels, detailing our insights on legal AI, risk, productivity, and the future of legal work.Produce high-quality content across various formats, including:Short and long-form videosBlogs, threads, explainers, and playbooksWebsite messaging, landing pages, and conversion flowsLaunch videos, product narratives, and visual assetsNewsletters and thought leadership seriesCollaborate with the sales team to create sales enablement materials that enhance outbound and demo performance, including presentations, one-pagers, case studies, objection-handling resources, and product explainers.Lead PR and earned media initiatives by identifying compelling story angles and launching media campaigns.

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 Simple AIAt Simple AI, we are pioneering cutting-edge voice AI solutions tailored for enterprises. Our lifelike voice agents empower renowned companies such as DoorDash, xAI, and Omaha Steaks in managing diverse phone operations ranging from customer support to order intake and lead qualification. As we experience rapid revenue growth, we seek a couple of founding software engineers to help us meet current customer demands while developing innovative systems for the future. Our team is passionate about harnessing AI to transform the world, and we operate from our San Francisco office five days a week.Simple AI is proudly supported by top-tier investors and industry leaders, including Y Combinator, Massive Tech Ventures, and prominent figures like Michael Seibel (co-founder of Twitch), Jared Friedman (Scribd), Alexandr Wang (Scale AI), Matt Van Horn (June Oven and Lyft), Suhail Doshi (Mixpanel), JJ Fliegelman (WayUp), and Scott Wu (Cognition).Meet the FoundersThe founders, Catheryn Li and Zach Kamran, previously led software teams at Y Combinator, where they launched numerous products for YC founders, including the co-founder matching site. Cat brings experience from Instagram and Facebook and holds degrees in mathematics and computer science from MIT. Zach studied computer science and statistics at the University of Chicago and led software initiatives at PEAK6.What We ProvideCompetitive salary with significant equity opportunitiesEmployee-friendly equity termsOffice located in San FranciscoComprehensive health, dental, and vision insuranceComplimentary lunch and dinner at the officeFree Uber rides home after 8:30 PMRegular team events and offsite activitiesYour Qualifications4+ years of relevant software engineering experience.Exceptional problem-solving skills and a passion for tackling technical challenges.A customer-centric mindset coupled with strong communication skills and a keen interest in product design and prioritization.Self-motivated with the ability to work independently.A genuine enthusiasm for continual learning and keeping abreast of the latest advancements in AI.

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.

Founding Engineer – Baton AILocation: San Francisco, CA (In-Person)Experience Level: 3+ years (Full-Stack Engineering)About Baton AIBaton AI (getbaton.ai) is revolutionizing enterprise automation with a cutting-edge platform designed for seamless cross-application workflows. Our mission is to empower solutions engineering and implementation teams by automating customer onboarding and product setup, allowing them to deliver value at a faster pace and scale. This is just the beginning of our expansive vision for enterprise-wide, AI-driven automation.As a rapidly growing, VC-backed startup, we are seeking visionary builders who are eager to innovate, take initiative, and play a key role in shaping the future of AI automation.Your ResponsibilitiesLead Development of Core Systems – Architect and develop essential components of our full-stack web application, API infrastructure, and AI-enabled automation platform.Tackle Advanced Technical Challenges – Engage in complex tasks involving AI agents, prompt engineering, evaluation, monitoring, API integration, and browser automation.Influence Product Direction – Work closely with early adopters and the founding team to shape our technical roadmap and implement impactful features.Embrace Rapid Learning and Prototyping – Innovate, experiment, and deliver solutions swiftly in a high-trust, streamlined environment.Our Ideal Candidate3+ Years in Full-Stack Engineering – Strong proficiency in React and Typescript.Expertise in Modern Web Development – Familiarity with React/NextJS and Node.js. Knowledge of Python and Elixir/functional programming is advantageous.Experience with Rich-Text Editors – Previous work on features similar to those found in Notion or be eager to tackle this challenge.Interest in AI and Workflow Automation – A passion for developing AI/LLM-driven applications and automation tools.Product-Oriented Mindset – A commitment to clean code and exceptional user experience.Strong Problem-Solving Skills – Ability to navigate ambiguity and deliver results efficiently.Willingness to Work On-Site – Enthusiastic about collaborating in person in San Francisco.

Join Shiplight AI as a Founding Engineer, AIAre you ready to be at the forefront of the AI revolution and make a significant impact?Do you believe in enhancing productivity exponentially through innovative solutions?At Shiplight AI, we are on a mission to redefine enterprise-scale automation through intelligent agents. We envision a future where organizations leverage AI systems capable of understanding context, taking meaningful actions, and seamlessly collaborating with humans — transforming workplace dynamics.Our initial goal is to revolutionize software quality assurance. We are developing cutting-edge agentic QA systems that integrate deeply within the software development lifecycle, empowering every product manager, developer, and tester with their own AI QA engineer for real-time validation of their work.You will be part of a small, dedicated founding team led by industry experts, focusing on the intersection of AI agents, systems engineering, and enhancing real-world developer productivity.

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.

Kiloforge operates as a company factory in San Francisco, using AI to generate, validate, build, and distribute software products for niche communities. The team’s goal is to address overlooked challenges with tailored applications and eventually manage thousands of products, each designed for specific needs. Role overview This founding engineer position centers on building and shipping micro applications at a rapid pace. The work involves developing software for real users, automating processes, and adapting quickly as priorities shift. The environment values experimentation and learning across disciplines. What you will do Develop and release micro applications each week for actual users Continuously improve and automate development workflows Who we're looking for Generalists with broad skills, ideally extending beyond engineering Experience building products that have reached real customers Resourceful and adaptable, able to respond to new challenges Strong instincts for product and design Comfortable with shifting priorities and ambiguity Curious and motivated to learn across different fields Background in founding a company or strong interest in entrepreneurship The team Founders with experience building companies, including one that reached $20M ARR Track record of launching products with thousands of active users Driven to make a meaningful impact Small, agile group of founders and builders Supported by investors such as a16z, Uncork Capital, Y Combinator partners, and Rahul Vohra Why join Kiloforge Collaborate with designers, creatives, and marketers to integrate their expertise into AI-driven workflows Ideal for those ready to take risks and help reshape how software is built and shipped Hands-on experience building and distributing products in an AI-first setting

Join Thorin as a Founding Product Manager!As a pioneering member of our team, you will play a pivotal role in shaping the future of applied AI solutions that redefine productivity in modern organizations.At Thorin, we leverage cutting-edge AI technology to create proactive agents that continuously monitor and optimize workflows across platforms like Slack, email, and meetings, ensuring that no task falls through the cracks.Our approach goes beyond traditional AI tools; we build real-time digital twins of organizational processes, enabling seamless automation and actionable insights over extended timeframes.With the visionary guidance of Joe Lonsdale and the backing of 8VC, Thorin is set to become a cornerstone of AI-driven productivity.

Summary: Join Interface as a Founding Engineer! We seek versatile engineers (ML, data, full-stack) who are driven, innovative, and eager to make a difference. If you're ready to challenge the status quo and build impactful solutions, we want you on our team! Your Profile:Make swift, informed decisions with a focus on outcomesProactively address issues before they escalateFluent in our technology stack (TypeScript, Python, Docker, LLMs, YOLO, Tesseract, PostgreSQL, AWS, React Native, etc.)Have a proven track record of building functional productsThrive in fast-paced environmentsYour Responsibilities:Engage with users/customers to understand their experiences, challenges, and requirementsDesign robust systems utilized by thousands at billion-dollar enterprisesDevelop autonomous data pipelines for auditing large volumes of documentsEnsure scalable infrastructure managementDeliver quickly – our mantra is progress over perfection.Important Insights:Collaborate directly with the founding team and customersUser needs take precedence over flashy featuresThe team works six days a week in our San Francisco officeEnjoy working in SF: vibrant atmosphere, pleasant weather, and access to the best tech ecosystem in the world Additional Information:We welcome applications from around the globe.We offer competitive compensation, substantial equity, and the chance to influence our early team dynamics.$3,000 referral bonus for successful hires.About Interface: We are pioneers in autonomous safety solutions for the industrial sector, focusing on error detection and correction in industrial documentation. Our AI-powered platform aims to automate compliance tasks across various domains. You will leverage cutting-edge technologies at the crossroads of LLMs, computer vision, and data frameworks to redefine industry standards.

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.

Join us as a Founding Applied AI Engineer at Atlas, where you will play a pivotal role in shaping the future of artificial intelligence. This is not just a job; it's an opportunity to drive innovation and impact at a foundational level. You will be tasked with developing and implementing cutting-edge AI solutions that address complex challenges across various industries.Your journey with us will involve collaborating with a team of passionate professionals, utilizing advanced technologies to create meaningful, scalable applications. If you're excited about AI and eager to lead projects that promote technological advancement, we want to hear from you!

About Pax HistoriaPax Historia is pioneering a new genre of gameplay by leveraging cutting-edge generative AI technologies. Our innovative platform combines the strategic depth of grand strategy games with the limitless creativity of a sandbox environment, driven by a vibrant community that actively creates and modifies scenarios.Our user base generates hundreds of scenarios daily and engages in millions of game rounds each week, exhibiting rapid growth. We are proud to be supported by esteemed investors such as Y Combinator, Pace Capital, and Z Fellows. Your contributions will have an immediate impact on a product enjoyed by hundreds of thousands of players.Position OverviewWe are seeking a founding-level ML Systems Engineer to join our team in-person full-time in San Francisco (Dogpatch). You will have the opportunity to work closely with our cofounders to shape the future of our technology.Current Challenges:Closed-source models yield satisfactory game performance but come with high costs.Open-source models are more budget-friendly yet often underperform in our environment.Prompts and harnesses exhibit minimal variance across models.We have a functional internal evaluation system with significant opportunities for enhancement.Your Responsibilities:Establish and manage the necessary infrastructure for customizing harnesses and prompts tailored to individual AI models to optimize their performance.Develop domain-specific models aimed at narrowing or completely bridging the gap in performance between open and closed models.Optimize caching strategies to decrease expenses associated with closed-source models.Enhance the performance of closed-source models by training specialized endpoints.Assess and advance the effectiveness of embedding and reranking mechanisms in our applications.Facilitate the creation of new user experiences based on emerging world models.In Summary: Your work will directly enhance the affordability and enjoyment of the game.

About HyperspellHyperspell is revolutionizing the Memory & Context Layer for AI Agents.AI agents are brilliant yet lack context.While AI agents excel in standardized testing, they struggle with real-world applications. Today's cutting-edge agents lack the contextual understanding that humans naturally acquire through diverse interactions. This context evolves with their tasks.Hyperspell empowers AI agents with contextual awareness by integrating with users' workspace data, creating a tailored memory and context layer.Our ValuesWe are committed to shaping the future through bold innovations. Our goal is to establish ourselves as the indispensable context layer for organizations, enabling all their AI agents to connect seamlessly. We embark on this journey not because it is easy, but because it is significant.We prioritize care — for our customers, their success, the future of AI, and most importantly, for one another. As we build the frontier of AI, we strive to be one of the most technologically advanced yet profoundly human companies in history — a place where we can enjoy shaping the future together.Our InvestorsOur vision is supported by esteemed investors such as Y Combinator, Afore Capital, Scribble Ventures, and Pioneer Fund. Our angel investors include leading figures from OpenAI, Anthropic, xAI, and DeepMind, alongside respected founders from Silicon Valley like Siqi Chen (Runway) and Julian Weisser (On Deck).Our FoundersFounded in 2024 by Conor Brennan-Burke and Manu Ebert, Hyperspell is driven by experienced leaders. Conor previously spearheaded growth at Checkr, overseeing a $30 million API product portfolio and earning the title of 'the most helpful founder in YC'.Manu brings over 15 years of expertise in machine learning and AI, having successfully sold two companies and led high-growth engineering teams at Airbnb. Interestingly, he acquired his first .ai domain in 2014, needing to send a fax to the domain authority in Anguilla to do so.About the RoleAs our founding platform engineer, your mission will be to construct the infrastructure that makes Hyperspell feel magical — swift, dependable, and effortlessly scalable. You will be responsible for the foundation upon which our entire product is built, ensuring that when customers entrust us with their data, we uphold their trust.

Join Our TeamFinal Round AI, located in the vibrant heart of San Francisco, California, is at the forefront of transforming the job interview landscape through innovative technology. Our platform delivers real-time interview coaching, realistic mock interview simulations based on leading company standards, and essential tools designed to craft an impressive, hireable resume. We strive to empower candidates to distinguish themselves, cultivate confidence, and achieve their career aspirations.Supported by some of the most prestigious venture capital firms in Silicon Valley, Final Round AI is experiencing rapid growth. Our dynamic team is expanding, and we’re in search of dedicated, visionary individuals who thrive in fast-paced environments. Having already assisted over one million candidates from more than 100 countries in landing their dream jobs, Final Round AI is truly redefining career paths.

Founding EngineerJoin Terac: The Premier Expert Network Driving Frontier ResearchLocation: San Francisco (in-person required) | Stage: Seed ($9M raised)At Terac, we are captivated by the vision of a future where agent-driven companies operate without traditional employees, yet still rely on human intelligence. As we stand on the brink of a new era where AI will handle most tasks with human oversight, Terac is poised to be the labor marketplace that fuels this post-AGI landscape.We are currently an expert network that supports cutting-edge research by constructing the foundational layer that facilitates on-demand human labor. Our partners integrate with us through API access to a diverse pool of research-grade experts. We manage sourcing, verification, screening, and payments, allowing our partners to concentrate on product development.Historically, jobs have transitioned from lifelong commitments to short-term engagements. From the stone age to the industrial era, and now platforms like Uber, the trend toward AI-driven labor marketplaces is undeniable and will only escalate in demand.Having successfully secured $9M in funding from notable investors including Emergence, SignalFire, Audacious, and Z Fellows, we are seeking innovative engineers with a founder's mindset to take ownership of critical components of our platform as we expand from research tools into the larger human data economy.Your Responsibilities:Lead and enhance the recruitment engine, utilizing targeted advertisements, referrals, automated outreach, and creative solutions to identify niche audiences.Develop and refine the Terac API for integration by research tooling and AI data companies.Implement the AI moderator, our voice agent designed to screen candidates, assess long-term tasks, detect fraudulent behavior, and facilitate multilingual conversations.Create marketplace systems that encompass opportunity routing, pricing optimization, expert lifetime value modeling, and feasibility analysis.Design the expert network experience, focusing on onboarding processes, opportunity matching, payout systems, and trust frameworks to retain experts.Collaborate closely with the CTO to influence technical strategies utilizing technologies such as Next.js, TypeScript, tRPC, Drizzle, Neon Postgres, LiveKit, and the Vercel AI SDK.Your Profile:A proactive builder with 3+ years of experience in software engineering, preferably in startup environments.