As a Product Quality Engineer at Peer AI, you will own end-to-end quality for complex AI-driven workflows in the high-stakes $23B life sciences market. You will build automated systems spanning UI, APIs, and asynchronous processing, developing AI agents to navigate and validate long-running clinical document processes to accelerate life-saving medical discoveries.
Product Quality Engineer (SDET / Test Automation) at Peer AI
You will move beyond traditional QA to build AI-native systems and agents that navigate complex clinical workflows, ensuring that our high-stakes platform provides the reliability required to accelerate clinical research and deliver treatments to patients faster than ever before.
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Location
San Francisco, United States
Compensation
Not Disclosed + Equity
Company
Peer AI
Role overview
Peer AI is an AI-native platform focused on transforming regulatory submissions and documentation for life sciences and biopharma companies. It provides purpose-built, domain-specific AI agents and an intuitive, AI-powered user interface to automate and accelerate the drafting of complex regulatory documents such as clinical study reports (CSR), safety narratives, investigational new drug (IND) applications, biologics license applications (BLAs), protocols, investigator’s brochures (IBs), and plain language summaries, while keeping medical writers in full control at critical decision points.[1][5][8][15] The platform is positioned as an agentic AI solution for regulatory documentation, designed to reduce drafting time, provide workflow visibility and control across programs and teams, and offer predictive regulatory intelligence that helps teams anticipate reviewer queries and streamline submission workflows.[1][5][8][14][15] Peer AI’s mission is to transform drug development with AI-powered intelligence by connecting documentation, data, and decision-making so treatments can reach patients faster, drawing on deep expertise in life sciences, data protection and privacy, and generative AI.[3][14] The company serves pharmaceutical, biotech, and contract research organizations (CROs) worldwide and is backed by leading venture investors, having raised over $12 million in funding to expand its regulatory AI platform.[5][8][15]
What you will do
- Design and implement end-to-end automated coverage across UI, APIs, and asynchronous workflows to ensure release-readiness for complex regulatory document systems.
- Develop advanced AI-assisted testing strategies, including agents capable of exploring edge cases and flagging unexpected behavior in long-running clinical data processes.
- Collaborate with engineering and medical writing teams to create synthetic data and realistic test environments that mirror the highly regulated pharma landscape.
Who this is a fit for
- Possesses strong software engineering fundamentals with the ability to write production-grade code and debug distributed systems where failures cross multiple services.
- Demonstrates hands-on experience building automated test suites for complex web applications and a deep instinct for what can and should be automated.
- Brings a product-first mindset, capable of judging when a workflow feels correct for a user, ideally with experience in regulated software or LLM evaluation.
Why this role is remarkable
- Lead the transition to AI-native testing by building agents that navigate workflows, evaluate non-deterministic results, and simulate realistic medical writer behavior.
- Join a high-growth company backed by $12.1M from top-tier investors like Flare Capital and SignalFire, operating in a massive $23B market.
- Directly impact the speed of medical innovation by ensuring the reliability of platforms that help get treatments to patients faster through automated regulatory submissions.
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