Product Engineer Intern at Ditto | San Francisco

About DittoDitto is revolutionizing social connections on college campuses as a leading dating platform. In just three months, we've expanded our user base threefold to over 120,000, backed by a $9.2 million seed round from top-tier investors including Google and prominent venture capital firms. Our mission is to create a product that fosters genuine matchmaking for Gen Z, and we’re only at the beginning of our journey.About the RoleJoin us as we craft an innovative social network powered by AI, where intelligent agents do more than assist — they enhance the entire user experience. We're in search of a passionate Product Engineer Intern who has experience launching consumer products that resonate with users. In this role, you will be responsible for developing user-facing experiences from conception to execution, ensuring they are engaging and seamlessly integrated.Your contributions will be vital in realizing Ditto's matchmaking and engagement engine, bringing to life the experiences that captivate our users while building the infrastructure that makes these interactions feel extraordinary. You will work closely with product managers, researchers, and infrastructure teams to define and refine the core elements of Ditto's platform.In This Role, You WillManage complete product experiences across matching, chat, scheduling, and user re-engagement — from ideation to launch and beyond.Make daily product decisions regarding development priorities, user experience, release timelines, and performance metrics.Design and implement AI-driven product flows where intelligent agents execute tasks while you focus on enhancing the user experience.Develop AI-orchestrated pipelines that automate workflows, replacing manual processes with streamlined solutions.Create internal tools allowing both humans and AI to assess system performance, debug agent activities, evaluate results, and guide system development.Establish feedback mechanisms linking user interactions, agent decisions, and real-world outcomes, including matches, responses, dates, and user retention.Rapidly prototype and iterate based on actual user data, fostering a culture of data-driven decision-making.How You Will WorkYou will function as a product-oriented manager of AI systems. Your role is not solely about coding; it’s about orchestrating the overall user experience through strategic oversight and innovative thinking.

About the RoleAt Ditto, we are pioneering the future of social networking through agentic AI. Our vision is to create a platform where AI agents not only assist users but autonomously manage interactions, understand user preferences, make informed decisions, and consistently improve the way people connect in real life.This is not your conventional full-stack position. We seek innovative engineers eager to develop systems where AI acts as the execution layer while humans devise, direct, and oversee these systems.As a Senior Full-Stack Engineer, you will play a pivotal role in realizing Ditto’s autonomous matchmaking and engagement engine. You will develop both user-facing features powered by AI agents and internal tools that facilitate interaction between humans and AI, enabling observation, debugging, and enhancement of agent functionalities. Collaboration with product, research, and infrastructure teams will be essential in shaping the backbone of Ditto’s agentic platform.In This Role, You WillDevelop agent-driven product flows for matching, chatting, scheduling, and re-engagement.Lead customer-facing social experiences powered by autonomous AI systems.Design and implement AI-orchestrated workflows that enhance operational efficiency.Create internal tools for both humans and AI to:Inspect system states.Debug agent behaviors.Evaluate outcomes.Guide system direction.Establish feedback loops connecting:User behaviors.Agent decisions.Real-world outcomes (matches, responses, dates, retention).Optimize the system for reliability, speed, and scalability.How You Will WorkYour role will involve acting as a manager of AI agents. Your primary responsibilities will include:Defining agent functionalities.Providing contextual guidance for agents.Designing the tools they utilize.Validating agent outputs.Establishing the infrastructure that enables agents to learn from experiences.Your focus will be on transforming human workflows into autonomous systems that yield measurable outcomes.

About CartesiaAt Cartesia, we are on a mission to revolutionize AI by creating interactive intelligence that seamlessly operates across all environments. Our innovative approach aims to enable continuous processing and reasoning over extensive streams of audio, video, and text data, paving the way for on-device capabilities that were previously unimaginable.Founded by PhDs from the Stanford AI Lab, our team has pioneered State Space Models (SSMs) — a groundbreaking method for training efficient, large-scale foundation models. We blend profound expertise in model innovation and systems engineering with a design-oriented product engineering ethos, allowing us to develop and launch advanced models and user experiences.Supported by top-tier investors such as Index Ventures and Lightspeed Venture Partners, along with a network of esteemed advisors and over 90 angel investors, we are well-positioned to lead the charge in AI development.About the RoleAs part of our early talent program, Cartesia is seeking a Product Engineer Intern who will play a pivotal role in delivering impactful, model-driven experiences across our platforms, including our marketing site, onboarding processes, self-serve funnels, dashboards, documentation, and APIs. You will collaborate closely with our go-to-market, model serving, research, and product teams.In this internship, you will engage in end-to-end development, iterating and measuring developer-centric product experiences that enhance activation, retention, and revenue. Your contributions will be integral to our production processes, allowing you to own significant portions of the product and witness your efforts directly influencing Cartesia's growth.Your ImpactDesign and implement growth-oriented surfaces for developers by leveraging user insights, data, and fundamental principles.Accelerate the market introduction of Cartesia’s latest models through the rapid development of high-performance interfaces and user flows.Track and analyze crucial performance metrics (e.g., user sign-up to first call, time-to-first-production-use, feature adoption) and iteratively improve based on actual user interactions.Publicly communicate your work via Cartesia’s official channels as well as your own professional profiles.Engage in cross-functional collaboration with various teams to create solutions that expand Cartesia's reach and enhance our collective work.Identify and alleviate pain points throughout the user journey, from initial engagement to product utilization.

About Ditto Ditto builds technology that keeps data moving reliably at the edge, even when networks are unreliable or disconnected. Developers use Ditto’s peer-to-peer synchronization engine to power real-time applications in places like stadiums, airplanes, and remote military bases. The platform ensures continuous connectivity and data integrity without needing an internet connection. With over $145 million in funding, Ditto supports organizations such as Chick-fil-A, Delta Airlines, and the U.S. military. The company’s software is used in aviation, retail, travel, hospitality, and defense for mission-critical operations. Ditto is a growing startup that values diversity and inclusion, bringing together many perspectives to solve tough connectivity challenges. Role Overview: Senior Software Engineer, Platform FDE This Senior Forward Deployed Engineer (FDE) position sits at the intersection of engineering and customer success. FDEs work directly with key users, helping them integrate Ditto’s software into their operational environments and accelerating the time-to-value for their teams. In this role, expect to observe how Ditto’s technology performs in the field, relay technical feedback and feature needs to the core product team, and address complex problems as they arise. The work often involves ambiguity and high-pressure situations, so adaptability and creative problem-solving are essential. Key Responsibilities Implement the Core Aggregation Node: Lead the architecture, deployment, and configuration of Ditto’s central data hub within SOCOM’s secure, distributed cloud infrastructure. Architect and Manage GovCloud Infrastructure: Set up, secure, and maintain production workloads on AWS GovCloud at high impact levels, meeting strict security and accreditation requirements. Deploy and Maintain Container Orchestration: Manage the lifecycle of Kubernetes clusters (including RKE2/K3s) in both cloud and on-premise settings. Responsibilities include upgrades, scaling, monitoring, and incident response. Engineer Secure Cross-Domain Data Flows: Design and troubleshoot data synchronization pipelines that use Cross Domain Solutions (CDS) and data diodes, ensuring secure, policy-compliant, unidirectional data transfer between classification levels.

About CluelyAt Cluely, we are revolutionizing the way people interact with AI by providing unparalleled advantages in diverse situations. Our innovative desktop assistant leverages screen, microphone, and audio context to deliver insights and suggestions that traditional models fail to offer due to contextual limitations.Our success hinges on two key factors:1) Chatbots are not the ideal interface for multi-modal AI.2) We possess the ability to make anything go viral.About the RoleAs an Engineering Intern at Cluely, you will be immersed in a dynamic environment where our engineering team works six days a week in-person in San Francisco, dedicating 10-12 hours each day. We provide housing within a block of the office to ensure your convenience and focus.Our engineering team comprises both seasoned professionals and ambitious young talent, creating a unique blend of skills and creativity. For more insights into our team, check out this link.Ideal Candidate ProfileYou are among the top engineers globally.You are willing to invest your life in the pursuit of greatness.

Join 8vc as a Product Engineer, where you will play a crucial role in shaping the future of technology. We are seeking an innovative and detail-oriented engineer to collaborate with our dynamic team and drive product development from concept to launch. You will leverage your technical expertise to solve complex problems and enhance user experiences.

About TacitTacit is a pioneering deep tech startup located in San Francisco, focused on creating groundbreaking hardware that transforms human-computer interaction. Supported by notable investors such as General Catalyst, Khosla Ventures, and Greylock Partners, our founding team comprises experts from Stanford, BrainGate, Oculus, and Tesla. While we are unable to disclose extensive details at this moment, our team is passionately addressing advanced engineering challenges to develop revolutionary products.About the RoleWe are on the lookout for a driven Electrical Engineering Intern to assist in the development and scaling of test infrastructure for our innovative sensing technology. This internship will provide you with hands-on experience across hardware, firmware, and automation systems, emphasizing the enhancement of test coverage and product reliability. You will have the opportunity to engage in collaborative learning and actively participate in product development within a vibrant startup atmosphere.What You'll DoAutomate lab equipment and validation workflowsDesign and construct custom PCBs for test jigsContribute to embedded firmware to support test hooks and diagnosticsDevelop a continuous integration (CI) test rack to automatically validate firmware releases and sensor performanceAssist in sensor characterization and calibration to minimize device-to-device variabilityDocument and effectively communicate engineering findings and recommendations.Ideal Candidates May HaveProficiency in Python, PCB Design (Altium), Embedded C/C++A strong independent work ethic, adaptability, and resourcefulness.Excellent communication and teamwork abilities.Comfort in a fast-paced startup environment, with a passion for independent building.CompensationHourly rate determined by your individual skills and experience.

About RoamRoam is an innovative Applied AI lab dedicated to the development of World Models for immersive 3D environments. We are pioneering the transition from traditional 2D pixel representations to fully interactive 3D worlds. Our initiatives encompass everything necessary for perception, reasoning, and creation within 3D spaces, with diverse applications in simulation, design, and gaming.Our primary focus is the gaming sector, where we specialize in 3D environment generation and understanding for interactive entertainment. Our cutting-edge technology empowers millions of users to create, explore, and share captivating worlds together.Much like TikTok democratized content creation, our mission is to enable everyone to transform their ideas into games without requiring any technical expertise.Since our inception earlier this year, we have achieved remarkable milestones:Onboarded over 1,000 gaming and livestream creators (each with 100K–10M followers) ready to launch Roam games, collectively reaching an audience of over 250 million fans.Assembled a dynamic team of 12 applied AI experts from leading organizations like ByteDance Seed, Nous Research, OpenCSG, and NASA, including seasoned technical founders and engineers who have successfully launched over 100 games.Secured investment from notable backers including Google DeepMind, ByteDance, Anduril, Together AI, and Polymarket, alongside prominent founders and content creators.Acquired a consumer product studio boasting over 11.5 million downloads.About the Role:In this role, you will delve into the intersection of applied AI and large-scale systems, concentrating on world generation pipelines, data-efficient training methodologies, and real-time optimization techniques. Your contributions will empower users to create, engage with, and monetize immersive games and 3D environments. Key responsibilities include:Designing and implementing game generation pipelines utilizing LLMs and advanced agentic chains.Enhancing game iteration cycles, model accuracy, and generation speed across mobile and cloud infrastructures.Scaling the product effectively.Establishing feedback loops that learn from player interactions and self-play to automatically test and enhance games in real-time.Delivering context-aware creation through multi-turn dialogues and granular parameter control.

Join the Firetiger TeamAt Firetiger, our vision is to empower entrepreneurs in creating one-person companies that generate over $1 billion in revenue.We are transforming the future of software companies by envisioning a world where autonomous agents take over the majority of operational tasks, reducing the need for human intervention.Unlike traditional software engineering tools designed for manual operation, Firetiger pioneers a revolutionary approach where success is defined by our customers, and our agents ensure those goals are consistently met through continuous monitoring and action.Founded by industry leaders Rustam and Achille, both former executives from Cloudflare and Segment, we are backed by Sequoia Capital and a network of innovative founders and executives from top tech companies.We are seeking a talented Product Engineer to create seamless interfaces between human users and AI agents, focusing on workflows, visualizations, and interaction patterns that simplify autonomous technical operations.

Sieve is an AI research lab based in San Francisco, focused on large-scale video data. The team builds and maintains infrastructure capable of handling exabyte-scale video, while developing advanced methods for video understanding. Sieve also curates extensive and diverse datasets to support new approaches in video modeling. With video now accounting for a significant portion of internet traffic, the company aims to remove barriers to high-quality training data for fields like creativity, communication, gaming, AR/VR, and robotics. The company recently completed its Series A and is backed by investors including Matrix Partners, Swift Ventures, Y Combinator, and AI Grant. Sieve has worked with leading AI labs and continues to grow, generating $XXM last quarter with a small team of 15. Role overview The Software Engineering Intern at Sieve works across the stack to help build and scale data pipelines that deliver video datasets to clients. This role involves taking full ownership of projects, from sourcing and curating video data to developing machine learning filters, improving system efficiency, and building internal dashboards for quality assurance and delivery. The work directly impacts the timely delivery of high-quality data to customers. What you will do Build and scale data pipelines for delivering video datasets Source and curate video data for a range of applications Develop and refine machine learning filters to enhance data quality Improve system efficiency and reliability Create internal dashboards for quality assurance and delivery tracking Who thrives here This internship is well suited to those who enjoy solving complex technical problems, want to collaborate directly with customers at the forefront of Video AI, and seek meaningful challenges in a high-performance setting.

About ReductoAt Reducto, we empower AI teams to seamlessly ingest real-world enterprise data with unparalleled accuracy. Our innovative solutions unlock vast amounts of enterprise data—ranging from financial statements to health records—previously trapped in unstructured formats like PDFs and spreadsheets. By training vision models to interpret documents as humans do, we enable the development of products, training of models, and automation of processes at scale.Having experienced exponential growth, with a remarkable 7x year-over-year revenue increase, we collaborate with hundreds of companies, including leading AI teams such as Harvey, Vanta, and Scale, as well as major enterprises like FAANG and top trading firms.Backed by over $100 million from top-tier investors including A16z, Benchmark, and First Round Capital, we are in search of a talented Product Engineer to join our dynamic team.The RoleAs a Product Engineer, you will be instrumental in developing features that empower our customers to design, build, test, and evaluate their essential document workflows. Our mission is to democratize access to document data for everyone, regardless of their technical background. You will contribute to creating a comprehensive product suite that spans from document storage to the seamless export of parsed data for various applications. Your work will encompass everything from interactive document viewers to data extraction workflows, crafting user experiences that simplify complex AI functionalities.

Netic stands at the forefront of artificial intelligence innovations, empowering essential services that serve as the backbone of the American economy.With an impressive $43 million in funding from renowned investors such as Founders Fund, Greylock, Hanabi, and Dylan Field, who spearheaded our Series B, we've enabled our clients to secure numerous jobs across various service industries in North America. Today, there are businesses that operate solely on an AI-first approach using Netic.Join our dynamic team comprised of relentless builders from top companies like Scale, Databricks, HRT, Meta, along with graduates from prestigious institutions like MIT, Stanford, and Harvard, as we integrate frontier AI into the physical economy, tackling complex challenges with immediate and tangible impacts.At Netic, we create features that empower businesses through AI. As an intern, you will receive dedicated mentorship guiding you through the entire process of supporting customers, launching features, and iterating swiftly.This internship spans 12 weeks and is set to commence in the Summer of 2026 or earlier.

Join Scribe as a Senior Product Engineer, where you'll play a crucial role in developing innovative products that enhance user experience. In this position, you will leverage your expertise to design, implement, and optimize cutting-edge solutions. Collaborating with cross-functional teams, you'll contribute to the entire product lifecycle, ensuring that our offerings meet the highest standards of quality and functionality.

About KernelKernel is a cutting-edge developer platform that offers Lightning-Fast Browsers-as-a-Service for browser automations and web agents. Our API and MCP server empower developers to effortlessly launch browsers in the cloud without the hassle of managing infrastructure.Our serverless browser platform takes care of the complex aspects: autoscaling reliable browser infrastructure, observability, and intricate web interactions, enabling developers to concentrate on the functionality of their agents rather than the underlying details. Kernel transforms AI into a tangible, practical, and powerful tool, allowing developers to deploy agents capable of genuine interaction with the digital landscape.We pride ourselves on being trusted by teams at Cash App, Rye, and numerous others for deep research, QA automation, and real-time web analysis. We have successfully secured $22M in funding from top investors including Accel, YCombinator, Vercel, Paul Graham, Solomon Hykes (Docker), David Cramer (Sentry), Charlie Marsh (Astral), and more.With just one line of code, you can deploy any web agent to our cloud. The rest is in your hands. If you are passionate about building essential infrastructure for the next wave of AI applications, we would love to hear from you.About the RoleAs a Product Engineer at Kernel, you will be a full-stack engineer who values product development as much as coding. You possess the ability to translate your strong product instincts into code, ranging from pixel-perfect UI decisions to backend API architecture. You proactively contribute to the specification process rather than waiting for one to be provided.You will collaborate closely with our co-founders to define product direction, deliver full-stack features from end to end, and ensure that Kernel maintains its polished yet powerful appearance.Your ResponsibilitiesLead the full-stack implementation of user-facing product surfaces: dashboard, onboarding, website, and core product functionalities.Influence the product roadmap by integrating customer feedback, analyzing usage patterns, and leveraging your own insights into developer needs.Enhance developer experience across our SDK, documentation, CLI, and API, delivering the kind of seamless experience that makes developers exclaim, 'this just works.'Rapidly prototype and iterate, bringing features from concept to production with minimal oversight.Help shape the standards for building a superior developer product at Kernel.Your QualificationsYou are comfortable taking ownership of features from frontend to backend, demonstrating a holistic understanding of product development.A strong passion for creating seamless user experiences and an ability to translate product vision into functional code.Experience working in a fast-paced environment with a focus on agile methodologies.

About MetaviewAt Metaview, we are revolutionizing the workplace by eliminating the burdens of toil, the barrier to progress. We believe in the power of Human-Computer Symbiosis to enhance productivity.Our AI copilot transforms how hiring is approached, leading to:Increased flow-state, reduced toil.Enhanced insights, less guesswork.Focus on human-centricity over process-centricity.Founded in 2018 by Siadhal and Shahriar, both ex-Uber and Palantir employees, Metaview has grown to support thousands of users at leading companies like Quora, Robinhood, Brex, Elastic, and Replit. We're proud of our small yet high-performing team, dedicated to doing great work.About the RoleAs a Product Engineer at Metaview, you will embody a customer-centric and product-focused mindset. You will lead the design, development, and operational aspects of our products, taking ownership of your work in a collaborative and dynamic environment.While we seek a full stack talent, this role is geared toward those who lean towards backend development. Your primary responsibilities will revolve around backend coding, but you will also engage with other parts of the stack to maintain high productivity.We value clean and effective coding, and while familiarity with languages and tools is appreciated, a willingness to learn and adapt is essential as our product continually evolves. Currently, our technology stack includes:Python for backend application development.Typescript and React for frontend application development.Serverless Framework for application management.

About Mariana Minerals Mariana Minerals is a software-focused minerals company based in San Francisco. The team delivers essential minerals that support energy, artificial intelligence, and defense technologies. By combining industry expertise with advanced software, automation, and data-driven methods, Mariana Minerals aims to transform the minerals supply chain. Mechanical Engineering Intern – Role Overview The Mechanical Engineering Intern will join the Pilot Plant Operations team at the San Francisco headquarters. This role centers on hands-on work: designing, improving, and optimizing benchtop pilot plant equipment. Interns collaborate with seasoned engineers and domain experts, gaining practical experience that goes well beyond typical support tasks. What You Will Do Create 3D models, layout drawings, and technical documentation for laboratory and pilot plant equipment. Build, test, and refine mechanical solutions to improve equipment performance, reduce downtime, control costs, and support health and safety. Work with engineering, management, and software teams to develop programs and applications that advance Mariana Minerals’ operations. Partner with colleagues from engineering, operations, and controls engineering to reach project objectives. Share your findings and experiences in a final presentation at the end of the internship. Desired Qualifications Currently enrolled in or recently graduated from a mechanical engineering or related degree program. Solid grasp of mechanical design documentation, including equipment specifications, layout drawings, piping diagrams, and CAD models. Hands-on experience designing or supporting industrial equipment such as pumps, piping systems, reactors, separators, filtration systems, or material handling equipment. Ability to design mechanical solutions independently, troubleshoot issues, and analyze complex data sets. Strong technical writing, communication, and teamwork skills. Comfortable adapting to changing priorities and managing multiple tasks in a busy environment. Why Mariana Minerals? Interns at Mariana Minerals join a mission-driven group focused on reshaping the future of critical minerals supply.

About Mariana Minerals Mariana Minerals is a software-driven minerals company based in San Francisco. The team supplies essential minerals for the energy, artificial intelligence, and defense industries. By combining deep industry knowledge with advanced software, automation, and data strategies, Mariana Minerals is rethinking how minerals reach the world’s most critical sectors. Internship Overview The Process Engineering Intern will join the Pilot Plant Operations team at Mariana Minerals’ San Francisco headquarters. This internship offers the chance to work on meaningful, hands-on projects in mineral processing. Interns conduct benchtop experiments, support pilot plant test runs, and help develop new operational programs. Close collaboration with experienced engineers and subject matter experts is a core part of the experience. This role focuses on building and delivering new solutions, not just supporting existing work. What You Will Do Run experiments in both lab and pilot plant settings to help reduce risks in scaling up minerals processing. Develop, test, and refine approaches to improve product recovery, minimize equipment downtime, control costs, and support health and safety. Work with engineering, management, and software teams to create programs and tools that advance operational goals. Collaborate with cross-functional groups, including operations and analytical labs. Present findings and insights at the end of the internship. What We’re Looking For Current student or recent graduate in chemical engineering, metallurgy, materials science, or a related field. Strong grasp of process design, thermodynamics, and reaction engineering. Hands-on experience in laboratory, pilot plant, or commercial plant settings through coursework, projects, or previous internships. Skilled in experimental design, troubleshooting, and independent analysis of complex data. Clear technical writing, communication, and collaboration abilities. Comfortable adapting to new challenges and working in a changing environment. Why Mariana Minerals? Interns at Mariana Minerals join a mission-driven team working to transform the global sourcing and supply of critical minerals. Every contribution supports a larger vision for the future of the industry.

About Us:At ResiQuant, we are dedicated to addressing a critical challenge in disaster resilience: the availability of accurate, standardized, and dynamic property data. As climate change and natural disasters such as earthquakes, hurricanes, and wildfires increasingly affect our world, informed risk decisions are often made with incomplete or erroneous data.Our mission is to equip insurers, financial institutions, and asset managers with AI-driven systems that integrate structural engineering knowledge. These systems help to bridge crucial data gaps, providing precise, actionable insights into buildings for improved decision-making.Founded by Stanford PhDs, we are devoted to utilizing state-of-the-art AI technologies to safeguard communities and businesses against the impacts of disasters. At ResiQuant, we envision a future where every organization has access to premier property risk intelligence, fostering resilience and protecting what matters most.The RoleIn this position, you will design and manage the backend systems that drive AI-powered property risk intelligence at enterprise scale. You will be responsible for creating APIs, data pipelines, and model-integrated services that provide reliable, real-time insights trusted by insurers for billion-dollar underwriting decisions. As an integral member of our early team, you will collaborate closely with the founders to establish the technical foundation of the platform and ensure that cutting-edge AI is applied safely and effectively within the insurance sector.What You’ll DoTake ownership of backend features from design through to deployment.Design scalable services and integrations tailored for Fortune 500 insurers.Construct pipelines to ingest, validate, and transform extensive property datasets.Develop and enhance AI-assisted backend functionalities (API design, retrieval-backed features, monitoring).Ensure observability, reliability, and performance across all systems.Work collaboratively with founders, engineers, and customers to rapidly iterate on impactful features.Who You Are0–5 years of engineering experience (1–3 years preferred). Outstanding new graduates are encouraged to apply.Bachelor’s degree in Computer Science or a related field.Proficient in Python, databases, and cloud platforms (AWS/GCP).Experience in delivering AI-assisted or data-intensive services (e.g., model APIs, retrieval pipelines).Strong understanding of backend engineering principles and practices.

This position offers flexibility for both Remote (US) and in-person roles based in San Francisco, CA.About OliveAt Olive, we’re revolutionizing how companies develop internal tools by enabling them to articulate their needs using natural language.From dynamic sales dashboards to comprehensive trust & safety workflows, internal tools serve as the operational backbone for today’s enterprises. However, creating these tools has traditionally been a slow and tedious process that drains engineering resources.Olive changes the game by transforming simple prompts into fully functional, full-stack internal tools connected to organizational data in mere minutes. Our innovative platform harnesses the power of large language models (LLMs) and advanced code generation techniques to deliver production-ready tools that provide unprecedented insights and operational efficiency.With a successful $2.1M seed funding round from top-tier investors and angel backers, we are on an exciting trajectory to scale our talented team.This role presents an exceptional opportunity to contribute to a challenging yet impactful project, characterized by speed and a strong focus on delivering results. If this sounds exciting to you, we encourage you to apply.The RoleWe are seeking a highly motivated Software Engineering Intern to join our team for the upcoming summer (or fall/spring semester). You will collaborate closely with our founders, engage across the tech stack, and explore the boundaries of robust full-stack software development leveraging AI. This is a paid internship.In this role, you will play a critical part in building on our LLMs and agentic workflows to facilitate code generation, deployment, and tool utilization for enterprise applications. By the end of the internship, you will have developed significant features and functionality that will make a tangible difference.Our team is vibrant, hardworking, and supportive, always prioritizing the customer experience to craft delightful product interactions.

Join our dynamic core engineering team at AfterQuery, where you'll play a pivotal role in developing cutting-edge data infrastructure that will influence the advancement of frontier AI models. This position offers substantial responsibility, allowing you to oversee entire projects from inception to completion—providing immediate visibility of your contributions.Company OverviewAfterQuery is an innovative research lab at the forefront of artificial intelligence, exploring its limits and potential through unique datasets and experiments. Our primary clientele consists of foundation model labs, making us a vital partner for leading AI research labs worldwide.Headquartered in San Francisco, CA, we have garnered support from top-tier investors including Y Combinator, BoxGroup, and former partners from Lightspeed and Index Ventures, as well as prominent figures from Google DeepMind and Meta GenAI.Our founding team is composed of experts from prestigious organizations such as Jane Street, Meta, Citadel Securities, Google, Goldman Sachs, Morgan Stanley, Silver Lake, and leading AI research institutions like Berkeley AI Research (BAIR) and Stanford AI Laboratory (SAIL).Why You Should ApplySignificant Growth Potential: As one of the fastest-growing YC companies, we are poised to set records in our sector.Founding Role: Take charge of our data infrastructure from day one and leave your mark.Exceptional Team: Collaborate with a founding team that boasts experience from top firms like Citadel Securities, Meta, and Google.Key ResponsibilitiesDesign and implement complex data capturing workflows across web (Next.js) and desktop (Python) environments.Architect and enhance data pipelines to handle high throughput and heavy loads efficiently.Work closely with the founding team to shape product strategy and rapidly deploy features.Establish engineering best practices and prepare for future team expansion.Essential QualificationsMust be able to take a gap semester and work on-site in San Francisco.Proficient in JavaScript (Next.js) and Python, with a proven track record of developing full-stack web applications.Experience with serverless architecture and cloud services (GCP/AWS) for intensive data processing.Familiarity with caching (Redis), indexing (Elasticsearch), and message queues (Kafka) is a plus.