Backend Engineer at Kernel | San Francisco

About KernelKernel is an innovative developer platform that delivers Lightning-Fast Browsers-as-a-Service for browser automation and web agent deployment. Our API and MCP server empower developers to effortlessly launch cloud-based browsers without the hassle of infrastructure management.Our serverless browser solution takes care of the complexities: autoscaling, dependable browser infrastructure, observability, and intricate web interactions, allowing developers to concentrate on their agents' functionality rather than the underlying technology. Kernel brings AI to life, enabling developers to create agents that genuinely engage with the digital landscape.Our platform is trusted by teams at Cash App, Rye, and many others for various tasks including in-depth research, QA automation, and real-time web analysis. We recently secured $22M in funding from notable investors such as Accel, YCombinator, Vercel, Paul Graham, Solomon Hykes (Docker), David Cramer (Sentry), and Charlie Marsh (Astral).With just a single line of code, you can deploy any web agent to our cloud infrastructure. If you are passionate about developing essential infrastructure for the future of AI applications, we would love to connect with you.

Join Our Team at KernelAt Kernel, we are revolutionizing the way developers interact with the digital world through our innovative platform, offering Lightning-Fast Browsers-as-a-Service for seamless browser automation and advanced web agents. Our cutting-edge API and MCP server empower developers to effortlessly launch browsers in the cloud, eliminating the complexities of infrastructure management.Our serverless browser platform takes the hassle out of autoscaling, reliability, and observability, allowing developers to concentrate on their agents' functionality rather than the underlying processes. Kernel transforms AI into a practical and impactful tool, enabling developers to deploy agents that can genuinely engage with online environments.Trusted by industry leaders such as Cash App and Rye for applications ranging from comprehensive research to QA automation and real-time web analysis, we have successfully raised $22M from prominent investors including Accel, YCombinator, and others.With just one line of code, any web agent can be deployed to our cloud—what happens next is up to you. If you are passionate about creating essential infrastructure for the future of AI applications, we would love to connect.

About KernelKernel is a cutting-edge developer platform that offers Lightning-Fast Browsers-as-a-Service tailored for browser automation and web agent creation. Our API and MCP server enable developers to seamlessly launch browsers in the cloud without the hassle of infrastructure management.Our serverless browser platform takes care of the complex tasks: autoscaling reliable browser infrastructure, ensuring observability, and managing the intricate details of web interactions, allowing developers to concentrate on their agent functionalities rather than the underlying processes. Kernel brings AI to life, making it practical and powerful, empowering developers to deploy agents that can effectively engage with the digital landscape.We are trusted by teams at Cash App, Rye, and numerous others for diverse applications like in-depth research, QA automation, and real-time web analysis. We have successfully secured $22M in funding from notable investors including Accel, YCombinator, Vercel, Paul Graham, Solomon Hykes (Docker), David Cramer (Sentry), Charlie Marsh (Astral), among others.With just one line of code, you can deploy any web agent to our cloud. The rest is in your hands. If you're passionate about developing critical infrastructure for the next generation of AI applications, we would love to connect.

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.

At Magic, our goal is to develop safe AGI that propels humanity forward by addressing some of the most pressing challenges we face. We are committed to harnessing the power of automated research and code generation to enhance models and improve alignment in ways that surpass human capabilities. Our innovative methodology integrates cutting-edge pre-training, domain-specific reinforcement learning, ultra-long context, and advanced inference-time computing.Role OverviewAs a Kernel Engineer, you will be responsible for the design, implementation, and maintenance of high-performance kernels, aiming to optimize throughput and minimize latency during both training and inference processes.Magic's extended context windows present unique kernel optimization challenges, particularly regarding memory efficiency, data movement, and sustained throughput.Key ResponsibilitiesDesign and develop kernels that facilitate high-performance long-context functionality.Take ownership of kernel design, implementation, deployment, and ensure production reliability.Emphasize robustness, thorough testing, and functional accuracy while striving for optimal performance.Assess the feasibility of porting Magic’s compute kernels to various hardware platforms.Collaborate with the training, inference, and reinforcement learning teams to co-design kernels.Explore our work through the Magic-Attention, presented at GTC 2026.QualificationsExperience in low-level programming for AI accelerators, including NVIDIA Blackwell or Google TPUs.Proficient in developing and optimizing GPU kernels using frameworks such as NCCL, MSCCLPP, CUTLASS, CuTeDSL, Triton, Quack, and Flash Attention.

At Thinking Machines Lab, our ambition is to enhance human potential by advancing collaborative general intelligence. We envision a future where individuals have the tools and knowledge to harness AI for their distinct requirements and aspirations.Our team comprises dedicated scientists, engineers, and innovators who have contributed to some of the most renowned AI products, including ChatGPT and Character.ai, along with open-weight models like Mistral, and influential open-source projects such as PyTorch, OpenAI Gym, Fairseq, and Segment Anything.About the RoleWe are seeking an Infrastructure Research Engineer to architect, optimize, and sustain the computational frameworks that facilitate large-scale language model training. You will create high-performance machine learning kernels (e.g., CUDA, CuTe, Triton), enable effective low-precision arithmetic operations, and enhance the distributed computing infrastructure essential for training expansive models.This position is ideal for an engineer who thrives in close collaboration with hardware and research disciplines. You will partner with researchers and systems architects to merge algorithmic design with hardware efficiency. Your responsibilities will include prototyping new kernel implementations, evaluating performance across various hardware generations, and helping to establish the numerical and parallelism strategies crucial for scaling next-generation AI systems.Note: This is an evergreen role that remains open continuously for expressions of interest. We receive numerous applications, and there may not always be an immediate opportunity that aligns with your qualifications. However, we encourage you to apply, as we regularly assess applications and will reach out as new positions become available. You are also welcome to reapply after gaining additional experience, but please refrain from applying more than once every six months. Additionally, you may notice postings for specific roles catering to particular projects or team needs. In such cases, you are encouraged to apply directly alongside this evergreen listing.What You’ll DoDesign and develop custom ML kernels (e.g., CUDA, CuTe, Triton) for key LLM operations such as attention, matrix multiplication, gating, and normalization, optimized for contemporary GPU and accelerator architectures.Conceptualize compute primitives aimed at alleviating memory bandwidth bottlenecks and enhancing kernel compute efficiency.Collaborate with research teams to synchronize kernel-level optimizations with model architecture and algorithmic objectives.Create and maintain a library of reusable kernels and performance benchmarks that serve as the foundation for internal model training.Contribute to the stability and scalability of our infrastructure, ensuring it meets the growing demands of AI development.

Join Plaud as a Backend Engineer and be part of an innovative team driving the future of technology. You will design, develop, and maintain scalable backend systems that enhance our product offerings and improve user experiences. This is an exciting opportunity to work with cutting-edge technologies and collaborate with talented professionals in a fast-paced environment.

Join demo.levels.fyi, a trailblazing software company that empowers real-time collaboration on vital workflows. Established in 2012, we proudly serve over 10,000 clients globally and are backed by esteemed investors, including Example Capital. Having successfully raised our Series C, demo.levels.fyi is currently valued at $750 million.As a Backend Engineer, you will be an integral part of our dynamic team, directly reporting to the team manager. This pivotal role will enable you to influence various workflows and contribute to our innovative projects.

About CasaAt Casa, we believe that homes are among life’s most cherished assets, yet the experience of homeownership can often be frustrating. We are on a mission to revolutionize this experience by creating a next-generation personal property management solution tailored for single-family homes, ensuring that owning a home becomes a delight.Founded by early visionaries from Uber, CloudKitchens, and Levels, Casa is proud to be supported by a remarkable group of leading venture capital firms and angel investors. Our service is already live and delivering value to paying members.About the RoleWe are seeking a pioneering Senior Backend Engineer to join our dynamic team. In this role, you will be instrumental in designing, developing, and deploying robust backend systems that provide exceptional value to our members.You will collaborate closely with our founders, fellow engineers, and designers to craft innovative and impactful products. Your contributions will be vital in shaping our core systems and defining the culture of our founding team.Key ResponsibilitiesArchitect and develop scalable, secure, and reliable backend systems.Design and implement APIs that enhance our iOS applications and other client interfaces.Optimize the performance and scalability of our services to accommodate an expanding member base and increasing data volume.Stay updated with the latest advancements in backend technologies and cloud infrastructure, integrating new methodologies as suitable.Mentor a growing engineering team through code reviews and constructive feedback to uphold high-quality standards.About YouYou are passionate about building robust systems. You possess a deep understanding of backend architecture, API design, and database management, and are eager to construct systems that can scale with our increasing member base.You are excited to be a founding engineer at an early-stage startup, ready to contribute to the structure and systems being established, while also shaping the company culture.You thrive on building. You embrace the challenges and opportunities for growth that come with joining an early-stage company, and you excel in a fast-paced, evolving environment.You think and act decisively. Your proactive mindset will contribute significantly to our mission.

Join our innovative team at leverdemo193 as a Backend Engineer, where you will play a pivotal role in developing robust server-side applications. You will be responsible for managing data interchange between servers and users, focusing on the development of all server-side logic, maintaining the central database, and ensuring optimal performance and responsiveness to front-end requests. Collaboration is key, as you will also integrate front-end elements created by your colleagues into the application. A fundamental understanding of front-end technologies is beneficial for this role.

About the RoleJoin us as a pivotal technical founder at Known, where you will be responsible for developing the back-end systems and infrastructure that drive our innovative platform. Your expertise will shape the APIs that cater to millions of requests, establish real-time communication frameworks for voice and text interactions, and create data architectures that facilitate intelligent matching on a large scale. You will design robust, high-performance systems primed for growth alongside our expanding user base.In collaboration with our founding team, including specialists in AI/ML, full-stack development, product management, and design, you will architect back-end services that effectively manage complex workflows. This includes streaming LLM responses, processing payments, handling batch matching jobs, and enabling real-time chat functionalities, all while ensuring simplicity and enhancing developer efficiency. This is a high-responsibility position where your decisions will lay the groundwork for the future scalability of Known.ResponsibilitiesDesign and develop scalable back-end services using Node.js/TypeScript, including RESTful APIs, background job processing, and data pipelines for real-time and batch operations.Architect and enhance database systems with Postgres, focusing on schema design, query optimization, indexing strategies, and data integrity at scale.Build real-time communication infrastructures utilizing WebSockets for chat and WebRTC for audio/video, ensuring minimal latency and maximum reliability.Integrate and oversee third-party services (such as OpenAI/Anthropic LLMs, Google/Apple Pay, reservation platforms, and notification services) with effective error handling and monitoring.Collaborate with AI/ML engineers to construct APIs and data pipelines that support model predictions, manage training data collection, and facilitate experimentation workflows.Take charge of infrastructure, deployment, and observability — develop CI/CD pipelines, implement monitoring and alerting systems, optimize cloud expenses, and guarantee system reliability as user traffic increases.Design for performance and scalability — implement caching strategies, optimize API response times, and architect systems capable of accommodating significant growth without necessitating rewrites.Requirements4–6 years of experience in building production back-end systems, preferably for consumer products, high-traffic applications, or startups.Strong proficiency in TypeScript and Node.js, with a thorough understanding of asynchronous programming techniques.

Join Layerfi as a Backend EngineerAt Layerfi, we are revolutionizing the accounting landscape for small and medium-sized businesses (SMBs). With a decade of experience, we’ve established a powerful ecosystem of software tools that facilitate various business operations. However, the accounting sector has fallen behind, leaving SMBs to struggle with disjointed software and costly bookkeeping services.We are creating a cutting-edge accounting software that seamlessly integrates with the existing tools that SMBs rely on daily. Our platform empowers software companies to deliver modern accounting solutions and bookkeeping services to their clients, eliminating the need for outdated tools and expensive bookkeepers.Your RoleWe seek engineers who aspire to build not just products but also a strong team and company. This requires a blend of technical expertise across our tech stack along with unique skills such as:Forward-thinking coupled with a deep understanding of customer needs.A keen curiosity about technical and business challenges.Ability to navigate competing priorities while aligning with company objectives.A strong sense of ownership in product and team decisions.A passion for collaboration and enhancing the strengths of your colleagues.Our ideal candidates typically possess:A minimum of 2 years of experience in robust software development teams.Experience navigating the highs and lows of product development from inception to launch.A proven track record in team leadership and growth.We value proactive individuals who are eager to tackle challenges and seize opportunities, and we welcome those who reach out even if they don’t precisely meet the criteria.Our Technology StackWe do not focus on how familiar candidates are with our specific tech stack. One of the advantages of hiring exceptional engineers is our confidence in their ability to adapt and learn quickly, with support from the team. However, we do want all candidates to feel excited about the tools and environment they will engage with from day one.API language: KotlinEmbedded components: ...

Join Point as a founding Senior Backend Engineer and be part of a team creating a modern and aspirational banking experience. We are dedicated to enhancing everyday debit cards with exciting rewards and benefits, setting a new standard in banking.Discover more about Point's innovative team and dynamic culture here.

About UsScribe is a dynamic workplace where talented individuals come together to achieve remarkable professional milestones. With over 94% of the Fortune 500 relying on Scribe to enhance their operations, our Workflow AI platform effortlessly captures and optimizes workflows, enabling teams to work smarter, faster, and with greater consistency.Since our inception in 2019, we have experienced rapid growth, amassing more than 5 million users across 600,000 businesses. Headquartered in San Francisco, we have been recognized as a LinkedIn Top Startup, valued at over $1 billion, and supported by prominent investors. Join us as we transform the way work is accomplished.Our Work CultureWe are passionate builders striving to perfect our crafts. We deeply value our colleagues and are committed to achieving success together. We adhere to the following principles:Accelerate ImpactRaise the BarEmpower Our UsersClarity is KindRapid LearningOne Team, One DreamRole OverviewWe are on the lookout for a Senior Backend Engineer to become a vital member of our Core Engineering Team, which drives some of the key functionalities at Scribe, such as document viewing and editing, content embedding and exporting, and supporting essential integrations. Millions of users depend on these workflows daily.In this position, you will take the lead on influential projects — from enhancing critical document features to developing new greenfield systems — while collaborating across the technology stack to deliver exceptional product experiences. As a backend engineer, you will deepen our systems, engage in technical discussions, and elevate the standard of engineering excellence within the team.Your ResponsibilitiesDevelop and deploy backend features within our Django monolith, covering core document workflows (viewing, editing, embeds, exports) as well as innovative greenfield projects that broaden Scribe's capabilities.Enhance performance and reliability by fine-tuning database queries, endpoints, and caching layers for critical user workflows.Collaborate with product managers, designers, and frontend engineers to create intuitive and dependable experiences at scale.Contribute to the architecture and design of our systems to improve overall efficiency and maintainability.

Join us on-site in the vibrant Dogpatch neighborhood of San Francisco as a Senior Backend Engineer.About GigaGiga, a pioneering voice AI startup, has successfully secured a $61M Series A funding and boasts an impressive roster of clients including DoorDash. We are dedicated to revolutionizing the customer experience through real-time AI agents capable of understanding emotions and resolving issues instantly, while being scalable across the globe's largest enterprises.This is a pivotal moment for our company as we aim to expand our horizons. Our ambition is to position Giga as the premier AI platform for enterprise automation, driven by our cutting-edge voice superintelligence. To realize this vision, we are seeking exceptional engineers to join our team.Our engineers are empowered to make significant impacts, influencing the daily experiences of millions. This unique opportunity allows you to work alongside visionary founders, contribute to a commercially successful venture, and help shape a generational company. Here are some highlights about us:Voice AI startup Giga raises $61M Series ADoorDash and Giga PartnershipGiga is trusted by leading B2C companies around the world to manage their most complex support and operational workflows across various communication channels including voice, chat, and email. If this excites you, we encourage you to apply!The RoleWe are searching for innovative backend engineers to develop the infrastructure and systems that power our AI agents. You will engage with a variety of technologies from data pipelines and analytics to real-time agent systems, delivering features that have a direct impact on our customers' operations.This position grants you the freedom to own challenges from start to finish—identifying the optimal approach, constructing solutions, and refining them based on your findings.What You'll Work OnHere are a few key projects from our current roadmap:Analytics overhaul: Transitioning our analytics service to ClickHouse and optimizing it for the next phase of growth.Hallucination detection: Enhancing our detection systems with the aim of minimizing hallucination occurrences.Browser agent utilization: Scaling and stabilizing our systems to ensure robust performance.

About KreaAt Krea, we are at the forefront of developing innovative AI-driven creative tools designed to enhance artistic expression.Our commitment lies in making AI accessible and manageable for creative professionals. We aim to create tools that enhance human creativity rather than replace it.We view AI as a revolutionary medium that facilitates self-expression across diverse formats, including text, images, video, sound, and even 3D content. Our goal is to create smarter, more intuitive tools that effectively leverage this medium.Your RoleDesign, implement, deploy, and maintain robust private APIs for our core web and mobile applications.Create and optimize database models.Troubleshoot system issues, particularly those related to HTTP/3 and client-side connections.Enhance database and infrastructure performance through effective caching solutions and improved connection pooling.Analyze and identify bottlenecks in HTTP/WebSocket requests to facilitate real-time image and video generation.Advance observability, monitoring, and alerting capabilities for our services to ensure effective incident management.Scale our services through architectural advancements and infrastructure enhancements.Open-source significant innovations derived from our product development efforts.Refine software development processes to create web-native and AI-native creative tools.Elevate our product by incorporating enterprise-level features such as Audit Logs, SAML/SSO, and SCIM.Our Technology StackJavaScript/TypeScriptSvelte & SvelteKitNode.js, PostgreSQL, and RedisWebSocketsManaged Kubernetes clusters on AWSMonitoring via Axiom/HyperDX/Prometheus/OpenTelemetryCollaborative tools: GitHub, Slack, Notion

Think Different. Build the Future. Our MissionDevelop everyday AGI. Trustworthy, consumer-grade agents that redefine human–AI collaboration for millions. Software should proactively assist users, enhancing daily productivity and creativity.Why Join AGI, Inc.We are a pioneering team of elite founders and AI researchers with backgrounds from Stanford, OpenAI, and DeepMind. We are at the forefront of mobile and computer-use agents, focusing on bringing these groundbreaking capabilities to consumers on a large scale.With years of dedicated agent research, our AI is built around trustworthiness and reliability as foundational principles, rather than as afterthoughts.Backed by top-tier investors who have fueled the first generation of AI trailblazers, we are now on a mission to create the next: everyday AGI. (Watch the demo)If you envision possibilities where others see limitations, we invite you to read on.About the RoleAs one of the initial engineers, you will play a crucial role in shaping our core product and transforming how individuals incorporate AI companions into their daily workflows.Expect to:Innovate from scratch. Conceptualize on the whiteboard in the morning and have a demo ready by evening.Take ownership of the entire stack. Work across backend, frontend, model orchestration, and observability to minimize friction between ideas and final product delivery.Connect research with user satisfaction. Collaborate with scientists to translate breakthroughs into refined consumer experiences, pushing them to production within days, not months.Set the standard. Establish engineering, design, and reliability benchmarks that future team members will adhere to.Transform markets. Your features will not be confined to a sandbox; they will redefine how everyday individuals engage with and trust AI.You will lead projects from conceptualization to production deployment, iterating swiftly and placing genuine user feedback at the core of product decisions.Key ResponsibilitiesDevelop comprehensive experiences: Design, code, and implement end-to-end solutions that enhance user interaction with AI.

At Siftstack, we are revolutionizing the way advanced machines are constructed, tested, and managed. Our innovative platform provides engineers with real-time visibility into high-frequency telemetry, removing obstacles and facilitating quicker and more dependable development.Siftstack emerged from our extensive experience at SpaceX working on projects such as Dragon, Falcon, Starlink, and Starship, where the challenges of scaling telemetry, debugging flight systems, and ensuring mission reliability necessitated the creation of groundbreaking infrastructure. Founded by a team with backgrounds in SpaceX, Google, and Palantir, Siftstack is engineered for mission-critical systems where accuracy and scalability are essential.As a pivotal engineer focused on our data infrastructure, you will not only write code but also shape core architecture and contribute to scaling a real-time telemetry platform from the ground up. You will tackle intricate backend systems designed to capture, store, and serve millions of high-frequency data points per second, accelerating iteration cycles for some of the most advanced engineering teams globally.

Who We AreAt doss, we are pioneering the next generation of data management with our innovative AI-driven schema layer, designed specifically for physical-goods companies. Our platform acts as the 'Terraform for operators,' enabling businesses to adapt their systems of record swiftly in response to changes in their operations.Imagine leveraging AI foundation models for seamless schema migrations, achieving real-time observability across operational and financial data, and utilizing sophisticated git versioning for both schema and data modifications, all while composing workflows akin to infrastructure code.Your RoleDesign and develop the foundational EAV data model and schema-as-code platform that underpins every customer instance, ensuring a perfect balance between flexibility and transactional integrity.Construct a Git-style version control and migration engine capable of executing complex schema and data changes on live production environments for enterprise clients.Create AI-enhanced tooling that leverages foundation models to propose, validate, and implement new customer schemas and workflow definitions.Scale our white-labeled data warehouse (similar to BigQuery or Snowflake) to handle high-volume, low-latency analytics and automation tasks.Develop Terraform-like declarative APIs and SDKs to allow operations teams to manage business processes as code while ensuring security, tenancy, and performance.Provide end-to-end observability and searchable insights across supply chain, finance, and operational data, highlighting business logic in user-friendly language through AI-native search capabilities.Implement Enterprise guardrails within a composable system to preemptively identify anomalies or risky patterns.Foster a collaborative engineering culture, working closely with product and design teams to transform traditional back-office challenges into elegant, resilient systems that operators admire.Your SkillsProficiency in building large-scale ETL processes using databases such as Postgres, Elasticsearch, DuckDB, Memgraph (Graph DB), etc.Experience utilizing cloud services for the development and deployment of reliable web applications.Ability to work with abstractions to create scalable and complex graph-based architectures.About YouTeam-oriented: You bring enthusiasm, openness, and inquisitiveness to the team every day.Innovative thinker: You thrive on developing creative solutions to complex problems.Detail-oriented: You possess a keen eye for detail and a passion for delivering high-quality work.

About DelveDelve is pioneering an AI-native platform that revolutionizes compliance, transforming it from labor-intensive tasks into seamless, automated workflows.As the fastest growing compliance company in the industry, Delve enables hundreds of companies to save hundreds of hours (including notable clients like Lovable, 11x, and WisprFlow) by removing compliance busywork, allowing them to concentrate on what truly matters — securely serving their customers.Our team is a close-knit group of innovators—comprising former founders, operators, and engineers—dedicated to tackling genuine challenges for real customers. Our backgrounds span prestigious institutions like Stanford, MIT, Berkeley, and OpenAI, and we are funded by Insight Partners, General Catalyst, Y Combinator, among others. We recently secured a $32M Series A funding and are rapidly expanding!Step by step, we are on a mission to abolish busywork for humanity.About the RoleWe are seeking a Backend Engineer to take charge of the core systems that drive our AI workflows. In this role, you will design schemas, define APIs, and construct scalable backend architecture, closely collaborating with both engineering and product teams.This is an in-office position in San Francisco, where the founding team collaborates daily to make swift decisions and develop production-ready software deployed weekly.What You’ll DoManage backend systems: data models, APIs, and system design with scalability in mind.Lead schema and system design for our AI-native workflows.Utilize TypeScript, Node.js, Postgres (our current tech stack).Enhance backend performance and lay the groundwork for scalability.Collaborate closely with product engineers and AI engineers to define and implement backend contracts.Contribute to product development with practical engineering insights—this role is not just about fulfilling tickets.What We’re Looking For3–4 years of backend engineering experience (including personal projects and startup work).Strong experience in relational data modeling and API design.Proficiency in TypeScript, Node.js, Postgres, and ORM tools.Familiarity with system architecture patterns for scalable applications.Excellent problem-solving skills and a collaborative mindset.