ZeroEntropy is building next-generation technology for information retrieval over complex unstructured data. We are a team of engineers and scientists from Berkeley, CMU, Ecole Polytechnique, and have become experts at information retrieval technologies. We are looking for a highly skilled Full Stack Engineer to join us on our mission to build the future of search. As the founding full stack engineer, you will shape the foundation of our developer experience layer with a scrappy, but rigorous, and a product led growth mentality. You will have the autonomy to build end to end features, iterate quickly, experiment, and collaborate at the intersection of frontend, design, backend systems, and AI infrastructure. Your curiosity to learn and growth mindset will help you excel as a hands on builder who loves to roll up your sleeves and ship code that other developers adore. This job is for you if: You’ve launched full products end-to-end and shipped real features under pressure. You can debug backend latency spikes in one tab and style a frontend page in another. You care deeply about developer experience and want to build something beautiful and reliable. You’re excited by ownership, ambiguity, and going from 0→1 with no playbook. You’ve launched full products end-to-end and shipped real features under pressure. You can debug backend latency spikes in one tab and style a frontend page in another. You care deeply about developer experience and want to build something beautiful and reliable. You’re excited by ownership, ambiguity, and going from 0→1 with no playbook. What You’ll Do Build and own our dashboard: usage, billing, evals, live logs, etc. Talk to customers, understand what’s breaking or missing, and ship fast to show the value of our product. Collaborate closely with the research team on continual improvement. Own full-stack features that impact how developers interact with ZeroEntropy every day. Build and own our dashboard: usage, billing, evals, live logs, etc. Talk to customers, understand what’s breaking or missing, and ship fast to show the value of our product. Collaborate closely with the research team on continual improvement. Own full-stack features that impact how developers interact with ZeroEntropy every day. What We’re Looking For 2+ years of experience building and shipping full-stack features Strong fluency in both frontend and backend development (React, Typescript, Python, SQL, etc.) Past experience at a fast-paced startup, or a personal track record of shipping fast and learning faster Bonus: experience building devtools or working with AI infra / RAG systems 2+ years of experience building and shipping full-stack features Strong fluency in both frontend and backend development (React, Typescript, Python, SQL, etc.) Past experience at a fast-paced startup, or a personal track record of shipping fast and learning faster Bonus: experience building devtools or working with AI infra / RAG systems About the Team We’re a tiny, elite team based in San Francisco. We’re hiring a team extremely cracked Olympiad medalitsts (IMO/IOI) and researchers at top AI companies. We have a tight-knit, high-bar culture focused on rapid iteration and research–production crossover. Why Join Now You’ll work on hard technical problems across systems, UI, and AI, all in one job You’ll learn from some of the best engineers in the world, in a tight feedback loop You’ll help define the company’s trajectory, product, and culture You’ll get meaningful equity in a company that’s just getting started You’ll work on hard technical problems across systems, UI, and AI, all in one job You’ll learn from some of the best engineers in the world, in a tight feedback loop You’ll help define the company’s trajectory, product, and culture You’ll get meaningful equity in a company that’s just getting started We are looking for a highly skilled AI Developer to join us on our mission to build the future of search. As the founding engineer, you'll shape the foundation of a high-impact technology with a scrappy but rigorous, and product-led growth mentality. You will have the autonomy to build, iterate quickly, experiment, and research at the forefront of AI technologies. Your curiosity to learn and growth mindset will help you excel as a hands-on builder who loves to roll up your sleeves and think out of the box to innovate on a core technology needed by all developers building in AI. You love to disassemble a C++/Rust program and trace through every single nanosecond of CPU usage in order to squeeze the very last drop of performance out of the machine. You know and understand Linux syscalls at a deep level, you look through glibc code, you can debug CUDA code. You understand theoretical foundations in mathematics and computer science, including combinatorics/number theory/abstract algebra. You love making beautiful, clean, type-safe code, with the goal of pure functional programming using algebraic data types; only mutating state where efficiency requires it. You love to disassemble a C++/Rust program and trace through every single nanosecond of CPU usage in order to squeeze the very last drop of performance out of the machine. You know and understand Linux syscalls at a deep level, you look through glibc code, you can debug CUDA code. You understand theoretical foundations in mathematics and computer science, including combinatorics/number theory/abstract algebra. You love making beautiful, clean, type-safe code, with the goal of pure functional programming using algebraic data types; only mutating state where efficiency requires it. Requirements: Extensive experience and proficiency in Rust/C/C++, Python, SML/OCaml, Assembly. Proven experience managing infrastructure with strong Linux, Bash, and SQL skills. Deep understanding of the tech stack down to the metal, including experience with assembly, EVM, graphics shaders, CUDA, or kernel work. Solid grasp of computer science fundamentals like algorithms, data structures, and time complexity, but also knowledge of functional programming concepts like map, filter, and reduce. Familiarity with software design principles and best practices. Experience or willingness to learn about scalability technologies like AWS/Azure, Docker, and Kubernetes. Desire to work with type-safe languages like Rust/Swift (algebraic data types, functional programming, etc). Extensive experience and proficiency in Rust/C/C++, Python, SML/OCaml, Assembly. Proven experience managing infrastructure with strong Linux, Bash, and SQL skills. Deep understanding of the tech stack down to the metal, including experience with assembly, EVM, graphics shaders, CUDA, or kernel work. Solid grasp of computer science fundamentals like algorithms, data structures, and time complexity, but also knowledge of functional programming concepts like map, filter, and reduce. Familiarity with software design principles and best practices. Experience or willingness to learn about scalability technologies like AWS/Azure, Docker, and Kubernetes. Desire to work with type-safe languages like Rust/Swift (algebraic data types, functional programming, etc). What you will work on: Develop and implement robust features across our platform for high performance and responsiveness. Manage and optimize infrastructure using Linux, Bash, and SQL to ensure system scalability and reliability. Work autonomously on complex projects involving compilers, OS-level work, assembly, and more. Contribute to all phases of the development lifecycle, from research to deployment. Creating state-of-the-art ML models, including LLMs for information retrieval, rerankers, embedding models, etc. Creating scalable and low-latency infrastructure for a state-of-the-art search engine / database using Rust and k8s. Talking to customers to understand their needs, and improve on the technology to meet them. Develop and implement robust features across our platform for high performance and responsiveness. Manage and optimize infrastructure using Linux, Bash, and SQL to ensure system scalability and reliability. Work autonomously on complex projects involving compilers, OS-level work, assembly, and more. Contribute to all phases of the development lifecycle, from research to deployment. Creating state-of-the-art ML models, including LLMs for information retrieval, rerankers, embedding models, etc. Creating scalable and low-latency infrastructure for a state-of-the-art search engine / database using Rust and k8s. Talking to customers to understand their needs, and improve on the technology to meet them.
Full-time
$130K–$165K
San Francisco, CA, US
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