Senior/Staff Full Stack Engineer

Location: San Francisco, CA
Company Stage of Funding: Series A AI Life Sciences Company (~$30M Raised)
Office Type: Onsite (5 Days Per Week)
Salary: $175,000–$270,000 + 0.2–0.6% Equity

Company Description

We're representing a rapidly growing Series A AI company transforming drug discovery through intelligent scientific software. Their platform enables pharmaceutical and biotechnology researchers to analyze complex biological datasets using natural language, replacing weeks of manual coding and analysis with AI-powered workflows completed in minutes.

Trusted by leading global pharmaceutical companies including Johnson & Johnson, Roche, Eli Lilly, AstraZeneca, and Siemens, the company has experienced exceptional growth, increasing revenue more than 12x year-over-year while rapidly expanding its engineering team. Backed by leading venture investors specializing in deep technology and biotechnology, they're building the foundational AI platform powering the next generation of scientific discovery.

What You Will Do

• Design, build, and ship full-stack product features that accelerate scientific research and drug discovery.
• Develop scalable backend services, REST APIs, and data pipelines that power AI-driven scientific workflows.
• Build intuitive frontend applications enabling researchers to analyze complex biological datasets without writing code.
• Own features end-to-end, from technical design through production deployment and continuous iteration.
• Collaborate closely with product managers, designers, AI researchers, and software engineers to translate complex scientific workflows into intuitive software.
• Architect systems across application, identity, data storage, and machine learning infrastructure layers.
• Build production-quality software supporting enterprise customers in highly secure and regulated environments.
• Participate in rapid development cycles, shipping production code within weeks of joining.
• Help establish engineering best practices while contributing to architecture, scalability, and platform evolution.
• Work directly on AI-powered products that significantly accelerate pharmaceutical research and development.

Ideal Background

• 4+ years of professional experience in full-stack or backend software engineering.
• Proven experience building production software at early-stage or high-growth startups.
• Strong proficiency with Python and modern frontend frameworks such as React.
• Experience designing scalable backend systems, REST APIs, databases, and data-intensive applications.
• Strong understanding of cloud infrastructure and modern software architecture.
• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• Demonstrated ownership of customer-facing systems from concept through production.
• Excellent communication skills and ability to thrive in highly collaborative environments.
• Comfortable working onsite in San Francisco and contributing within a fast-paced startup culture.

Preferred

• Experience with Django, GraphQL, AWS, GCP, or Azure.
• Startup experience as an early engineer, founding engineer, or technical founder.
• Familiarity with AI, machine learning, or data-intensive software platforms.
• Interest in computational biology, bioinformatics, life sciences, or scientific software.
• Experience building enterprise SaaS products serving technical users.
• Strong systems design skills with experience scaling production applications.
• Demonstrated curiosity, ownership, and passion for solving complex technical challenges.
• Long-term commitment to startup environments with a track record of building products rather than maintaining legacy systems.

Compensation and Benefits

• Base salary: $175,000–$270,000.
• Equity: 0.2–0.6%.
• Visa sponsorship available.
• Five-day in-office collaboration in San Francisco with flexibility as needed.
• Opportunity to join a rapidly scaling engineering organization with significant opportunities for technical leadership and career growth.
• Work directly with leading pharmaceutical companies developing AI-powered scientific software.
• Significant ownership over greenfield product development and platform architecture.
• Opportunity to build technology that accelerates drug discovery and advances healthcare innovation on a global scale.