• Leverage the industry standard AI tools to architect, design, build, deploy and maintain Model Serving infrastructure that supports a world-class Detection Engine. • Own projects that scale our model serving and data processing services to handle 10x the traffic we serve today. • Own real-time, near real-time streaming pipelines, and online feature serving services. • Collaborate closely with MLE and Data Science teams by distilling feedback, correlating it to strategy, and executing.

• Leverage the industry standard AI tools to architect, design, build, deploy and maintain Model Serving infrastructure that supports a world-class Detection Engine • Own projects that scale our model serving and data processing services to handle 10x the traffic we serve today • Own real-time, near real-time streaming pipelines, and online feature serving services • Collaborate closely with MLE and Data Science teams by distilling feedback, correlating it to strategy, and executing

Role Description We are building software that helps humanity conquer death. Cancer therapeutics take 12 years and $800 million to reach a patient. We are cutting that down to 5. Every line of code shipped here is time bought for someone who is running out of it. We are looking for one person. Junior. The most ambitious of our generation. You will write code next to some of the best people working on one of the hardest problems on earth. You will not be parked on a side project. You will be in the room. - High agency: You see a problem. You own it. You fix it. You do not wait. You do not ask whose job it is. It is yours from the moment you see it. - High integrity: The whole codebase is your business. Every file. Every dependency. Every bug. You do not draw lines around what you care about. If you read those two paragraphs and felt seen, apply. If you read them and felt called out, do not. Stack: TypeScript. React. Next.js. PostgreSQL. We use Claude aggressively. You will too. But hear this clearly. AI writes code. Humans write great code. We hire humans to write great code, not to ship whatever the model spat out. If you copy-paste Claude's output without reading it, without questioning it, without making it better, you will not last here. Mediocre engineers use AI to skip thinking. Great engineers use AI to think faster. We hire the second kind. Qualifications - Life is work. Work is life. - You don't separate the two because you don't want to. You're already coding nights and weekends. - You're life-maxing: Code. Lift. Sleep. Meal prep. Books. Music that hits. - You're hungry the way an athlete is hungry. - You're an individualist: You do this for yourself. - You're fun to work with: You have taste and opinions. Requirements - You want to become great as if your life depends on it. - You read the docs. You ship the PR. You read more docs. You ship a better PR. - You don't perform learning, you do it. - You don't need a team huddle to be motivated. You need a problem and a keyboard. - You can take a punch and throw one back. - You don't take yourself too seriously, but you take the work very seriously. Benefits - Hard problems. Great people. Code that matters. - Top compensation, including virtual stock options. - Thinking retreats. We send you away for 10 days to read, think, recharge. - Free books. Any book you want. We pay. Company Description We are cutting drug development from 12 years to 5. Today, it takes 12 years and $800 million to bring a medicine to a patient. Most of those years are not spent on science. They are spent on paperwork, spreadsheets, and waiting. Yendou is the infrastructure scientists use to ship experimental drugs to clinics and prove they work, at speed. Faster trials. Faster answers. Faster medicines to the patients who need them. Seven years given back to patients. Seven years given to answering the next question that matters.

• Design and develop scalable fullstack applications from scratch • Build and maintain backend services using Python and FastAPI • Develop modern frontend interfaces using React • Collaborate directly with the CTO on technical decisions and product strategy • Design and implement AI-powered workflows and LLM integrations • Research, test, and apply new AI technologies to improve product capabilities • Create and maintain APIs, integrations, and data pipelines • Contribute to system architecture, scalability, and performance improvements • Participate in rapid product iterations and technical validations • Translate business and product requirements into technical solutions • Collaborate with cross-functional stakeholders in a fast-paced startup environment • Ensure code quality, maintainability, and best development practices