Founding AI Engineer

About Uplane (YC F25)At Uplane, we are revolutionizing the advertising industry. Companies are losing billions due to ineffective ads, misaligned landing pages, and suboptimal budget distribution. Uplane addresses these challenges by integrating various agencies, spreadsheets, and isolated tools into a cohesive, self-optimizing AI platform. Our system not only generates advertisements but also crafts corresponding landing pages, optimizes budget allocation across diverse channels, and more. Join us in constructing the AI engine that will redefine how marketing budgets are managed and spent worldwide.About The RoleWe are on the lookout for an innovative and self-motivated AI Software Engineer to become a crucial part of our team in San Francisco. This full-time, on-site position presents an exceptional opportunity to take full ownership of product features from ideation to deployment in a dynamic startup environment.Why Join Us?Be among the pioneering employees of a well-funded startup.Tackle significant challenges in a vast market.Take charge of projects and experience rapid professional growth.Enjoy a culture that is fast-paced, ambitious, enjoyable, and humble.Key ResponsibilitiesCreate AI Systems: Design, develop, and maintain scalable AI solutions with LangGraph and TypeScript for automated marketing campaigns.Data Infrastructure Design: Build the data analytics framework that enables AI agents to enhance their intelligence over time.Architect Robust Systems: Construct and manage efficient database architectures using PostgreSQL and Supabase to ensure data integrity and performance.End-to-End Project Management: Lead projects through all phases, from concept to implementation, deployment, and ongoing support.User-Centric Feature Development: Utilize your product and design insight to create features focused on user needs and market trends.Collaborative Engagement: Work closely with the operations team and clients via Slack and Notion to align technical solutions with user expectations.QualificationsBachelor’s or Master’s degree in Computer Science, Data Science, or a related engineering field, or equivalent practical experience.Proficiency in programming languages such as TypeScript and experience with AI systems is preferred.Strong understanding of database management, particularly with PostgreSQL and Supabase.Ability to collaborate effectively within a team and communicate technical concepts clearly.

About CoverbaseCoverbase is redefining the landscape of business assessments by leveraging cutting-edge AI technology. Our goal is to enhance the trust and risk dynamics within the global economy, which has evolved from a reliance on a few suppliers to a complex web of over 100 SaaS providers and partners. In this environment, companies waste extensive resources on due diligence due to varying internal processes and risk assessments. Our mission is to simplify and streamline these assessments, enabling organizations to collaborate efficiently and safely. We utilize advanced AI methods to organize and analyze vast amounts of unstructured data against established policies to pinpoint potential business risks. We proudly serve numerous Fortune 500 clients across sectors such as insurance, education, and finance, including five of the top 25 banks in the US.Our leadership team consists of seasoned professionals:Clarence (CEO): Co-founder and former CTO of Unit21, a Series C fraud detection firm that has raised around $92 million.Kao (CTO): Formerly led the engineering team at Stripe that launched Banking-as-a-Service.Having secured $20 million from top-tier investors, our team of 20 members includes experts who have developed impactful products at Google, Mapbox, and Waymo.Role ExpectationsWe are on the lookout for a passionate AI Engineer to create and enhance core AI functionalities that drive our innovative product. The ideal candidate will be:Motivated individuals who are committed to delivering exceptional products rather than merely engaging in theoretical exploration.Team players who are dedicated to their work and to fostering a supportive and talented culture.ResponsibilitiesYou will be responsible for the following tasks:Developing LLM features from concept to production, including scalability considerations.Creating benchmarks to assess LLM performance and reduce inaccuracies.Overseeing the entire development lifecycle, including both infrastructure and front-end work related to AI features.Cultivating a positive environment through code reviews, mentoring, and knowledge sharing.Minimum RequirementsExperience in AI/ML development.Proficiency in programming languages such as Python or Java.

Join the dynamic team at Agentic AI as a Founding Software Engineer! In this fully remote role, you will be instrumental in shaping the future of innovative AI solutions. We are seeking a passionate and talented engineer to help build groundbreaking technology that will redefine industry standards.

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.

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.

Join Pensive as a Founding Engineer (AI/GTM)At Pensive, our mission is to harness the power of AI to revolutionize education and streamline business operations. Visit our Notion page to explore our vision, meet our founders, and understand our culture.Your Role and ContributionsAs a Founding Engineer specializing in AI and Go-To-Market (GTM) strategies, you will play a pivotal role in shaping our AI-driven solutions. Your innovative approach will be vital in developing automated systems that enhance our grading and tutoring platform, helping educators and students achieve more.You will be responsible for:Developing traditional AI engineering solutions, creating AI pipelines that optimize our educational platform for instructors and students alike.Implementing GTM engineering strategies to enhance customer management, business growth, and operational efficiency.Automating various business processes, from data management to customer onboarding, ensuring seamless operations.Example tasks include:Monitoring and enhancing the AI performance of our grading system.Creating a system for automated course categorization that aligns with our offerings.What We SeekWe are in search of dynamic individuals who are adept at leveraging AI to tackle challenges and drive solutions. Essential qualifications include:Exceptional problem-solving abilities and creativity.A strong understanding of AI-generated code, particularly in backend and AI-related domains.A quick learner who can thrive in a fast-paced environment.Preferred QualificationsExperience in prompt engineering and AI pipeline development.Hands-on experience in building applications from the ground up.Capability to write or comprehend frontend code.Our Technology StackFamiliarity with the following technologies is not mandatory for this role:Backend: Python, FastAPI, PostgresFrontend: TypeScript, React, TailwindCSS, Tanstack RouterInfrastructure: GCP, Cloud Run, FirebaseMobile App Development: CapacitorInterview ProcessWe look forward to welcoming you to our team!

About ClipbookClipbook creates innovative, AI-driven media monitoring and analytics solutions tailored for communications, PR, and public affairs teams. Our tools empower users to effectively track, search, and comprehend media coverage across text, audio, and video formats.Since our inception in 2023, we've rapidly expanded our clientele to over 200, including prestigious organizations like BCG, Weber Shandwick, and numerous government agencies. We achieved seven-figure annual recurring revenue (ARR) through bootstrapping before successfully closing a $3.3M seed funding round led by Mark Cuban. Our sights are set on raising a Series A round this year, with an ambitious goal of reaching eight-figure revenue by year-end.Our founding team boasts impressive backgrounds from institutions like BCG, Bain, Harvard, Stanford, Oxford, and includes experience in the White House and Congress. We have previously developed startups that received backing from notable investors such as Sequoia, Tiger Global, Insight Partners, Coatue, and NFX.The RoleAs a pioneering engineer at Clipbook, you will join a dynamic and skilled engineering team, comprised of professionals from industry giants such as Meta, Stripe, and AWS. Your contributions will significantly shape our architecture and technical direction, delivering impactful solutions to our growing customer base.What You'll DoArchitect & build core backend systems. Lead architectural initiatives across our backend stack (Python, Node.js, PostgreSQL). Take ownership of features from ideation through deployment, ensuring user satisfaction with your creations. As we establish key foundations, we value a pragmatic approach with strong opinions that are flexible to change.Design scalable data infrastructure. Develop and sustain pipelines for processing and managing vast, multi-modal datasets (text, audio, video) sourced from news, social media, and policy arenas, focusing on normalization, deduplication, and handling edge cases.Integrate AI into real-world workflows. Deploy LLMs and ML models into operational settings, including RAG pipelines, embeddings, prompt execution, agentic systems, and fine-tuning models, ensuring reliability, monitoring, and cost efficiency.Design systems that scale. Create robust systems capable of supporting a tenfold growth while making pragmatic investment decisions on current versus future needs.Develop performant APIs and services. Build reliable interfaces and internal services that drive our product, guaranteeing a secure and seamless experience for users.Collaborate closely with users. Participate in customer interactions to gather insights on performance, identify issues, and iterate on solutions.

Role OverviewLocation: San Francisco, CA or Remote (US) Work Model: In-office/RemoteAbout Effective AIAt Effective AI, we are pioneering the future of work by pushing the boundaries of artificial intelligence. We believe that the true potential of AI lies not in automating simple tasks, but in enhancing complex knowledge work that requires critical thinking and expertise. Our mission is to create advanced AI Teammates that excel in navigating intricate workflows and collaborating seamlessly with human professionals. We are initially focusing on the trillion-dollar U.S. Property & Casualty insurance sector, an area rich in data and complex processes, presenting an exciting challenge.Having secured $10 million in seed funding from esteemed investors such as Lightspeed Ventures and Valor Equity Partners, our team is based in San Francisco and thrives on close collaboration to tackle these daunting challenges.Your Role and ResponsibilitiesAs a Founding Frontend Engineer, you will be an integral member of our pioneering team, instrumental in crafting and developing our core product from its inception. You will explore the intersection of AI and human collaboration through data-intensive analytical projects tailored for insurance professionals.Key responsibilities include:Facilitating long-term task execution by establishing essential UX patterns for engaging with multi-turn, multi-tool AI systems.Empowering actuaries and underwriters to process thousands of documents simultaneously by providing them with coding tools and coding agents.Designing and implementing our frontend architecture using contemporary frameworks (React, TypeScript, Tailwind), with a strong emphasis on performance and maintainability.Hands-on involvement with our backend and core agentic platform, all developed in TypeScript.Collaborating closely with design, backend, and machine learning engineers to craft comprehensive user experiences.Rapidly prototyping and iterating on features while balancing speed and quality in a dynamic startup environment.Who You AreWe are in search of an innovative and driven creator eager to take on challenging problems.You possess a genuine passion for AI and thrive on solving ambiguous challenges through first principles thinking.You have extensive experience in developing production-ready web applications.

OverviewAt Dialogue AI, we are pioneering the future of customer research. Our innovative platform leverages AI agents to streamline the creation of studies, facilitate interviews, and extract valuable insights, empowering teams to understand their customers more efficiently than ever before.As a Founding Software Engineer, you will play a pivotal role in developing our product, infrastructure, and AI systems to deliver a user-centric solution that you can truly take pride in. You will work closely with a founding team comprised of experts from top technology companies and esteemed universities, contributing to both the product development and the organizational culture as we grow.Learn more about us at Dialogue AI

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.

Founding Machine Learning EngineerLocation: San Francisco, CA Work Model: In-office 5 days a weekAbout UsAt Effective AI, we are pioneering the future of work. Our vision is to push the boundaries of AI beyond mere repetitive tasks, focusing instead on intricate knowledge work that requires expertise and multi-faceted reasoning. We are developing advanced AI Teammates that are designed to navigate complex workflows and collaborate seamlessly with human professionals. Our initial focus is on the trillion-dollar U.S. Property & Casualty insurance sector, a domain rich with complexity and data, making it an ideal arena for our innovations.We proudly secured $10 million in seed funding from prominent investors including Lightspeed Ventures and Valor Equity Partners.Our committed team is based in San Francisco and thrives on in-person collaboration to tackle these significant challenges.Your RoleAs a Founding Machine Learning Engineer, you will be an integral member of our founding team, responsible for architecting, training, and deploying the agent loops that power our AI Teammates from inception. You will address some of the most pressing challenges in agentic AI and natural language processing, developing AI solutions adept at performing essential insurance functions such as underwriting and claims processing.Your responsibilities will include:Architecting and Developing Core ML Pipelines: Design, train, and fine-tune cutting-edge language models (including reinforcement learning agents) to facilitate long-term task accomplishment and complex decision-making.Implementing Nuanced Reasoning: Integrate machine learning techniques that empower agents to make informed decisions based on ambiguous or incomplete data, akin to human expert reasoning and generalization.Building Intelligent, Tool-Using Agents: Engineer the ML systems that enable our agents to dynamically select and utilize a broad array of external tools—including APIs, databases, web searches, and Excel-based pricing algorithms—to gather necessary information and execute actions.Designing and Implementing Robust Evaluation Frameworks: Create and employ comprehensive evaluation metrics and systems to rigorously assess and benchmark agent performance, identify areas for enhancement, and guarantee reliability and safety in real-world insurance processes.Enabling Continuous Adaptation and Learning: Develop resilient ML pipelines and feedback loops that facilitate ongoing learning and adaptation.

Found delivers a personalized weight management platform that combines modern medicine, behavioral support, coaching, and community. Since launching in 2019, the company has served over 250,000 patients across the U.S., offering affordable care backed by more than $130M in funding from investors such as Atomic, GV, WestCap, IVP, TCG, and Define Ventures. Found’s team focuses on clinically sound and cost-effective solutions for sustainable weight loss and metabolic health, pairing board-certified clinicians and a variety of medications with a modern member experience. The company is profitable, growing rapidly, and committed to treating weight as a chronic condition. Role overview This fully remote Senior Lifecycle Marketing Manager position leads Found’s pre-purchase lifecycle marketing efforts, guiding both growth and retention strategies from planning through execution. The role develops and runs lifecycle programs, manages campaigns in Braze, tests new approaches, and measures outcomes. Over time, responsibilities will expand to include post-purchase retention. As a senior individual contributor, this position will take on much of the work currently handled by agencies and will collaborate closely with Product, Clinical, Creative, and Paid teams. The role also involves building an AI-supported content engine to help scale campaign output, streamline testing, and ensure compliance. Direct access to the VP of Growth and executive leadership is part of the position, along with the opportunity to use AI tools to maximize impact. Key responsibilities Pre-purchase lifecycle ownership: Lead nurture campaigns, abandoned checkout follow-ups, reactivation strategies, Benefit Verification, lapsed-member re-engagement, cold-lead programs, and product launch communications. Manage these initiatives from strategy through Braze implementation, quality assurance, launch, and iteration. Hands-on Braze execution: Design canvases, create segments, conduct QA for push, SMS, and email, manage suppressions, and monitor deliverability. Use Liquid as needed for builds. Measurement and reporting: Set up holdouts, run incrementality assessments, and track lifecycle marketing conversions in Amplitude and Sigma. Provide monthly reports connecting lifecycle metrics to CAC and LTV:CAC goals.

Join Equi as a Founding Engineer and Applied AI LeadEqui is an innovative investment management firm dedicated to creating institutional-quality alternative investment solutions. Our unique business model not only provides Equi-branded funds but also develops white-label fund of funds products for premier independent multi-family offices and advisory firms nationwide. We leverage extensive manager selection expertise alongside sophisticated portfolio construction to achieve exceptional outcomes for our clients and partners.Currently, Equi is at a pivotal stage in our growth journey; our assets under management (AUM) are rapidly increasing. We have signed a Letter of Intent (LOI) to launch a new fund of funds product and anticipate additional LOIs in the near future. We are in the process of building a small, high-caliber team that will grow alongside the platform, taking on greater responsibilities as we scale.Your Role as Founding EngineerAs the Founding Engineer and Head of Applied AI, you will play a critical role in shaping the technology landscape across the company. This foundational leadership position involves designing and developing software solutions that will accelerate Equi's growth, collaborating closely with the investment team, operations, and go-to-market strategies.You will be the cornerstone of engineering at Equi, leading projects from conception to execution, encompassing AI-driven systems, customer-facing applications, and internal tools. This position sits at the crossroads of AI engineering and application development, where you will create RAG-based intelligence, automate complex investment workflows, and develop innovative customer-facing applications leveraging our data infrastructure.This is a unique opportunity for individuals who are passionate about sophisticated investment strategies and are eager to create technology that fuels a rapidly growing platform. The role is designed to evolve from hands-on building into a leadership capacity, allowing you to grow and guide the engineering team while adhering to our vision of maintaining a small, flat organization where everyone is closely engaged with the work.Our Culture at EquiAt Equi, we embrace a team-oriented culture where transparency and constructive debate are vital to our success. We operate under a flat organizational structure, where ideas are valued based on merit rather than seniority, and each team member is encouraged to contribute to discussions. We prioritize intellectual honesty, rigorous thinking, and humility to adapt when faced with new evidence.Our engineering vision is to maintain a small and flat team, ensuring that everyone remains actively involved in building, rather than layering on management. As our platform expands, there will be clear opportunities for increased responsibility and leadership while staying intimately connected to the technical aspects of our work.

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.

DiligenceSquared is in search of a pioneering Backend Engineer to join our team as we revolutionize the landscape of market due diligence through cutting-edge AI technology. In this foundational role, you will be instrumental in designing the architecture for our AI-driven engine, which coordinates autonomous research agents and voice AI systems to produce innovative market reports tailored for investment professionals, including those in Private Equity, Hedge Funds, Private Credit, and Corporate M&A.About DiligenceSquaredAt DiligenceSquared, we are transforming commercial due diligence for Private Equity funds. Backed by Y Combinator and having successfully raised a substantial Seed round, we are proud to serve some of the globe's largest PE funds. The market opportunity exceeds $10 billion annually, with PE firms spending up to $1 million per report from consulting giants such as McKinsey, BCG, and Bain. Our AI agents streamline this process, delivering faster, cost-effective, and fully auditable results, linking every claim to its source.Our founding team comprises seasoned professionals from Blackstone and BCG, bringing invaluable insights into the market's needs, which we are now automating.Your Responsibilities:Develop comprehensive product features and experiences from start to finish, including database models, API endpoints, and their integration with UI components for our web and AI Voice Agent application.Design and implement new AI-driven modules from the ground up (e.g., market sizing, competitive analysis) that will become core functionalities of our research platform.Build and maintain product foundations that include AI agent orchestration, voice AI pipelines, application and API performance, and intelligent automations.Architect scalable backend services featuring complex asynchronous processing and background task orchestration.Continuously improve the product by applying insights gained from each project, ensuring we progress by 1% every day (the Law of Compounding is real, especially for a team founded by investment professionals).Qualifications:Minimum of 3 years of professional experience in Python backend development.Proven expertise in building production-ready APIs using frameworks like FastAPI, Django, or equivalent.Experience in developing agentic systems leveraging large language model platforms (e.g., Anthropic, OpenAI).Hands-on experience with LLMs in a production environment, focusing on building reliable agentic systems rather than just API calls.Knowledge of PostgreSQL and SQL database design.Strong problem-solving and analytical skills with a passion for innovative technology.

At FutureSight, we are revolutionizing the landscape of vertical B2B AI software companies through our innovative venture studio model. Our mission is to transform groundbreaking ideas into thriving businesses by providing early validation, essential capital, and a dedicated team of experts from day one.We are currently on the lookout for a dynamic and hands-on AI Engineer who will be instrumental in the creation and launch of minimum viable products (MVPs) across various early-stage B2B SaaS ventures. This role demands a proactive builder capable of bridging the gap between strategic vision and practical software development.Key ResponsibilitiesAs a Founding Engineer, you will:Deliver Rapidly: Develop and deploy MVPs for multiple projects, efficiently switching contexts as needed.Leverage AI Tools: Utilize large language models (LLMs) and coding agents to streamline development processes, allowing focus on intricate logic and user experience.Collaborate with Founders: Engage directly with non-technical founders to translate their visions into actionable software solutions through clear and jargon-free communication.Establish Solid Foundations: Create well-documented, clean codebases that can be effectively handed off to permanent teams or facilitate your transition into a full Founding Engineer role.

Join Our Visionary TeamWe are revolutionizing the AI landscape for America’s 33 million small and medium-sized businesses (SMBs). Our growth trajectory is remarkable—10x in the past year and 20% month-over-month. After recently securing $3 million in seed funding from Pear, we proudly serve over 300 businesses today, with a target of exceeding 1000 by year-end. We have uncovered an untapped opportunity to lead the SMB market while others focus solely on enterprise solutions.Our Ambitious GoalConventional wisdom suggests that SMBs are challenging due to low contract values and high churn rates. However, we see significant growth potential where others see obstacles. Representing half of the U.S. GDP, SMBs require AI solutions just as much as enterprises do, and we are making this vision a reality.Our initial success demonstrates our model's effectiveness, and we are on the lookout for a dynamic product leader to help us scale. Starting with AI receptionists, we have quickly evolved into a more robust platform—the SMB Customer Revenue Engine, equipped with AI agents managing all customer interactions, an intelligent layer that learns from each interaction, and outbound AI strategies that drive genuine revenue growth. Our bold vision is to become the ultimate SMB super app—a comprehensive, intelligent platform that oversees everything from customer acquisition to retention.Your RoleAs our first full-stack founding engineer, you will play a pivotal role in shaping the evolution of our product. This position is far from ordinary; while coding is part of your job, your responsibilities will also include:Engaging with customers to gather feedbackParticipating in major dealsFacilitating growth experimentsDirectly influencing the product roadmapYou will take ownership of features from prototype to production scaling, collaborating closely with our founder (ex-Meta) and PM (ex-Microsoft) to influence the company's direction.Within your first 90 days, you will:Launch revenue-generating features utilized by hundreds of SMBsParticipate in sales and support calls, transforming customer feedback into rapid product iterationsWork across the technology stack (TypeScript, React, FastAPI, Postgres, Twilio, LiveKit)Refine critical AI logic that impacts call qualityDevelop internal tools that accelerate go-to-market effortsIn the subsequent six months, you will:Manage significant product areas (e.g., lead capture workflows, analytics, integrations)Drive the adoption of your features across 1000+ businessesCollaborate across teams to enable seamless product launches

Join a dynamic client of Weekday, one of the fastest-growing startups from Y Combinator. Your application will be prioritized if submitted through this platform.About UsWe are an innovative early-stage startup focused on developing AI-driven tools that enhance consumer application user experiences automatically. Our product is already live and being utilized by millions of users worldwide, demonstrating impressive month-over-month growth.Supported by prominent investors and experienced operators, we are on an exciting journey ahead.Having raised over $5 million, we recently launched our product!The RoleWe are seeking a talented full-stack engineer to contribute to the development and scaling of our AI-powered experience editor. You will engage with both front-end and back-end technologies, significantly influencing our product and infrastructure.This role is high-impact, offering substantial ownership, rapid iteration, and real-world scalability exposure.What You'll DoDevelop essential features for our AI-driven editor and experimentation platform.Create scalable back-end solutions and deliver clean, user-friendly interfaces.Integrate new APIs and AI models to enhance intelligent user experiences.Work collaboratively with founders and customers.Take full ownership of projects from inception to completion in a fast-paced, hands-on environment.DetailsFull-time, in-person role located in San Francisco (Monday–Saturday).Must be authorized to work in the U.S.

About QumisQumis is an innovative, venture-backed startup dedicated to revolutionizing the insurance industry through advanced AI technology. Our platform is designed to simplify the reading and interpretation of insurance policies, enabling property and casualty (P&C) insurance professionals—including claims advocates, brokers, underwriters, and legal teams—to work more efficiently, make informed decisions, and minimize reliance on isolated expertise. We proudly serve some of the largest insurance organizations in the U.S.By integrating legal-grade natural language understanding with structured analysis and user-friendly workflows, we aim to modernize one of the most complex and outdated aspects of the insurance industry: policy comprehension. Our vision is a future where anyone can read any insurance policy with the expertise of a lawyer.We are a tight-knit, high-trust team comprised of engineers, designers, and experts from the insurance and legal fields. Our culture emphasizes speed, autonomy, and a commitment to excellence that mirrors a Michelin-star standard. We value tenacity, rapid execution, ownership, clarity of thought, and a profound curiosity. If you are passionate about working on the cutting edge of AI and transforming traditional industries while collaborating with dedicated individuals, we invite you to join us.About the RoleWe are seeking a Founding Staff AI Engineer to develop and deploy production-grade AI technology that underpins Qumis's core workflows. In this pivotal role, you will collaborate closely with our CTO and co-founders to design, implement, and oversee every aspect of our AI pipeline—from unstructured document ingestion to interactive LLM outputs that inform legal-grade decisions.This is a crucial role for someone who thrives in a dynamic environment, delivers results rapidly, and is eager to take technical ownership of a new AI stack within a high-stakes domain.Your contributions will significantly influence our architecture, roadmap, and engineering culture, impacting every customer interaction on a weekly basis.What You’ll DoDevelop and launch production-ready AI features from research and development through to SaaS integration, observability, and iterative improvement.Design and implement advanced document understanding systems, such as RAG pipelines, clause segmentation, summarization, risk detection, and more.Create scalable APIs that provide real-time coverage analysis, comparisons, and recommendations within a modern SaaS user interface.Engineer robust data workflows encompassing OCR, PDF ingestion, parsing, normalization, and embedding generation.Oversee evaluation and observability, utilizing automated accuracy pipelines and human-in-the-loop systems to ensure trust and reliability.Design for explainability and maintainability, creating transparent AI systems.

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.