Artos AI Sr Full-Stack Engineer at Artos AI responsible for building and scaling the Artos platform across frontend and backend. Develop AI-powered workflows and intuitive product experiences for life sciences R&D documentation.
Responsibilities
Own and build product features end-to-end, from React and TypeScript interfaces through backend services, APIs, data models, and production deployment
Design intuitive experiences for complex, document-heavy enterprise workflows while building the systems required to make them reliable, performant, and scalable
Develop AI-native product experiences that allow users to generate, review, validate, and interact with AI-generated scientific and regulatory content
Work closely with product, design, AI, and customer-facing teams to turn real customer problems into high-quality software
Make pragmatic technical and architectural decisions, improve the platform as it scales, and take responsibility for your work from initial concept through production
Move quickly in an environment where requirements evolve, problems aren't always clearly defined, and engineers are expected to help determine what should be built—not simply how to build it
Qualification
Strong experience with ReactExperience building complexBS/MS in Computer ScienceYou’ll join a smallOther InformationLikes matcha KitKats
Required
5+ years of professional software engineering experience building and shipping production web applications
Strong experience with React, TypeScript, and modern frontend development, along with experience building backend services and APIs using Python, Node.js, or similar technologies
Solid understanding of application architecture, API design, databases, testing, and the fundamentals required to build reliable production systems
Experience building complex, data-intensive product experiences and integrating frontend applications with backend services
Strong product judgment and the ability to simplify complicated technical or business workflows into intuitive software
Comfortable owning problems across the stack, debugging unfamiliar systems, and making sound technical decisions without requiring perfect specifications
Strong communication and collaboration skills, with the ability to operate effectively in a fast-moving startup environment
BS/MS in Computer Science, Engineering, or a related field, or equivalent practical experience
Preferred
Experience with LLM or GenAI-powered applications, document processing, RAG or retrieval systems, Docker/cloud infrastructure, or regulated industries such as life sciences or healthcare is a plus, but not required.
You’ll join a small, highly technical team where engineers have meaningful ownership over both the product and the technology behind it. You’ll work on challenging problems at the intersection of AI, enterprise software, and life sciences, with the ability to influence architecture, product direction, and how we build as the company scales.
We’re looking for engineers who like owning difficult problems, shipping quickly, and building products that have a meaningful real-world impact.
Other Information:
Very comfortable working in a fast-paced and intense startup environment
Willing to work in-person in our office in Mission Bay 4-5 days/week
Likes matcha KitKats, believes every LLM prompt is just Schrödinger’s cat waiting to be observed, and knows too many random facts about the Mongol postal system
