Artos Expands Mission Bay Engineering Team to Automate Life Sciences Regulatory Filings

Artos is building automated document authoring software for life sciences organizations, using specialized large language model workflows and AI agents to produce complex regulatory submissions in minutes rather than months. Backed by Y Combinator and Pioneer Fund, the seven-person seed-stage startup is now looking to nearly double its headcount with five open roles based in its San Francisco office.

Preparing documentation for life sciences—such as submissions to the US Food and Drug Administration—demands months of manual compilation across clinical trials, chemistry, manufacturing, and preclinical studies. Artos builds LLM-based workflows and autonomous agents designed specifically for drug development, aiming to compress that process down to minutes without sacrificing precision.

Technical Foundations Across Medicine and Engineering

Artos was founded in 2023 by Chief Executive Officer Josh Kim and Chief Technology Officer Varun Patel, participating in Y Combinator's W24 batch.

Patel brings a background that bridges software infrastructure and translational medicine. He studied molecular engineering at the University of Chicago and earned a master’s degree in translational medicine from the University of California, San Francisco and UC Berkeley. Prior to co-founding Artos, Patel worked as a software engineer in healthtech and medtech, where he built machine-learning-enabled mobile applications for dementia caregivers and developed core insurance infrastructure at the largest healthcare company in the world. Kim previously co-founded medical device company Vena Vitals, another Y Combinator-backed venture.

Building Infrastructure for Enterprise Biopharma

The company operates with a compact team of seven employees out of San Francisco's Mission Bay neighborhood, a primary hub for life sciences and biotechnology. Its current hiring push reflects an expansion of both its core platform and its customer integration capabilities.

To support technical deployments and platform reliability, Artos has opened applications for a Sr DevOps Engineer ($167,000 to $231,000) to design, build, and maintain the AWS infrastructure and Kubernetes environments that run its AI agents, alongside automating platform deployments. For the core platform layer, the startup is hiring a Sr AI Software Engineer ($190,000 to $260,000) to build across the stack, developing backend services, product interfaces, and AI-powered drug development workflows.

Product leadership is also a focus as the startup refines its agentic toolset. A Product Manager ($195,000 to $242,000) will take ownership of the feature lifecycle, turning regulatory and enterprise requirements into functional platform features.

Deploying and Scaling On-Site with Enterprise Customers

Because life sciences companies handle sensitive clinical and proprietary trial data, technical deployment and support require close coordination. Artos is hiring customer-facing engineers to lead these integrations.

The Enterprise Solution Architect ($210,000 to $260,000) will act as the primary technical partner for the company's largest enterprise accounts from pre-sales conversations through deployment and expansion. In parallel, a Technical Solutions Engineer ($167,000 to $231,000) will troubleshoot full-stack client issues, navigating Kubernetes, cloud infrastructure, and the underlying platform.

All five positions are full-time and on-site at Artos's Mission Bay office four to five days a week, signaling an emphasis on in-person engineering collaboration as the platform scales.

Open Roles at Artos

See all open roles at Artos