Software Engineer, AI-Driven Biotech Platform

F-Prime Capital; San Francisco (CA); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Benchling, the AI platform for biotech R&D, is hiring engineers to design and build scalable software across the stack. You’ll translate product requirements into robust architecture while maintaining a focus on data integrity and scientific usability.

We seek teammates who collaborate across product, design, and platform groups, mentor others, and elevate engineering practices. Our team values ownership, speed, and a willingness to learn about life sciences in a fast-changing domain.

Qualifications

• 2+ years of professional software engineering experience.
• Strong coding skills and engineering fundamentals; translate requirements into maintainable, tested code.
• Experience building scalable, reliable systems with performance and user impact in mind.
• Leadership in engineering practices; uphold testing, reviews, and version control.
• Proven ability to work across teams with product, design, and platform groups.
• Strategic problem solving for complex, ambiguous technical challenges.
• Comfortable advocating for quality, scalability, and maintainability.

Responsibilities

• Drive complex, end-to-end projects across the stack (React + Python).
• Shape technical direction and architecture; improve performance and reliability.
• Collaborate cross-functionally with product, design, and platform teams.
• Mentor and support other engineers; raise team skills.
• Elevate code quality through testing, reviews, and documentation.
• Embrace ambiguity and domain complexity; learn new technologies quickly.
• Act with ownership and accountability for outcomes.

Skills

Software engineering

Coding fundamentals

Scalability

Code quality

Cross-team collaboration

Problem solving

Mentoring

Communication

Domain curiosity

Ownership

Job description

Benchling, the AI platform for biotech R&D, is hiring engineers to design and build scalable software across the stack. You’ll translate product requirements into robust architecture while maintaining a focus on data integrity and scientific usability.

We seek teammates who collaborate across product, design, and platform groups, mentor others, and elevate engineering practices. Our team values ownership, speed, and a willingness to learn about life sciences in a fast-changing domain.