Software Engineer, Full Stack (Process Execution)

BenchlingSan Francisco, CA
Hybrid

About The Position

Benchling is rebuilding biotech for the AI era by providing an AI platform for biotech R&D. Scientists use Benchling to design experiments, capture structured data, and run AI agents and models directly in their workflows. Over 200,000 scientists trust Benchling to power their work. The Process Development team builds the workflow platform that enables biotech and pharmaceutical companies to design, execute, and track complex scientific manufacturing processes at scale. This platform includes a workflow engine that allows scientists and operators to model their processes as structured workflows and execute them reliably. As a Software Engineer on this team, you will work full-stack across the workflow engine, recipes, and assays, which are core systems for Benchling customers. You will build features that impact how scientists manage manufacturing workflows, contribute to a platform layer adopted by other Benchling teams, and help integrate AI tooling into the team's engineering culture. The company emphasizes AI fluency as a foundation and core to how they work, committing to helping new hires integrate AI into their daily tasks. As part of the interview process, candidates will complete a brief AI-focused exercise or discussion.

Requirements

  • 3+ years of professional software engineering experience building and maintaining production systems
  • Full-stack experience — comfort working across backend (Python or similar) and frontend (React or equivalent)
  • Strong product sense with the ability to iterate based on user feedback and evolving requirements
  • Collaborative mindset — able to work closely with engineers, PMs, and cross-functional partners across a complex codebase
  • Willingness to engage with AI-assisted development tools (Cloud agents, Cursor, Claude Code, or equivalent) as a primary mode of working
  • Interest in learning about life sciences — prior biotech knowledge not required, but genuine curiosity is.

Responsibilities

  • Build and maintain core features across the workflow engine, recipes, and assays — full-stack across backend services and frontend product surfaces
  • Contribute to the data layer modeling that underpins workflow graph structures and task execution tracking
  • Build products on top of the workflow orchestration engine for industry standard processes
  • Collaborate cross-functionally with the AI Agents team to expose both the workflow engine and products built on top to enable AI-assisted scientific work
  • Write well-documented, well-tested code and participate actively in code review
  • Engage with on-call rotation (approximately 1.5 weeks per person per quarter) to support a customer-facing product used continuously by life science teams
  • Partner with product management and design to translate complex scientific workflow needs into intuitive, reliable software
  • Embrace AI-assisted development practices — this team expects engineers to work alongside and in parallel with agents as a core part of the development workflow
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