Sr AI Software Engineer

United States Digital Space LLC; San Francisco (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

United States Digital Space LLC in San Francisco is building AI-powered life sciences tools to accelerate R&D documentation. You will own features end-to-end across React/TypeScript interfaces, backend services, APIs, and data models, delivering scalable, production-ready software.

You will collaborate with product, design, AI, and customer teams to solve real problems, shipping quickly in a fast-paced startup setting.

Qualifications

• 5+ years of professional software engineering experience building and shipping production web applications.
• Experience with Python/Node.js and frontend with React/TypeScript.
• Strong understanding of 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.

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

Skills

5+ years experience

Backend APIs

React/TypeScript

API design

Data-intensive apps

Education

BS/MS in CS/Engineering

Tools

Docker

Job description

About the company:At the company, we build tools that help biopharma companies create and manage their R&D documentation in a fraction of the time. If you’re looking to join a team whose mission is to fundamentally change the way that drug development gets done, we’d love to talk to you.

Customer demand is growing rapidly, and we’re looking for a talented, startup-minded engineer to help us accelerate development of a product used by companies ranging from innovative biotech startups to some of the largest pharmaceutical companies in the world.

As a core member of the company’s engineering team, you’ll play a critical role in building, scaling, and expanding the the company platform. You’ll work across the stack, developing intuitive product experiences, robust backend systems, and AI-powered workflows that help life sciences companies bring life-saving treatments to patients faster.

What You’ll Do:

• 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

What We’re Looking For:

• 5+ years of professional software engineering experience building and shipping production web applications
• Strong experience building backend services and APIs using Python, Node.js, or similar technologies, with the ability to contribute across the stack using technologies such as React and TypeScript.
• 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 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

Nice to Have:

• 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.

Why the company:

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