# Software Engineer, Full Stack (Process Execution)

**Company:** [Benchling](https://hotfix.jobs/companies/benchling)
**Location:** San Francisco, CA
**Role:** Fullstack Engineering
**Experience:** 3+ years
**Skills:** Python, React, Workflow Engine, Graph Structures, AI Agents, Backend Services, Frontend Development, Data Modeling, Orchestration Engine
**Posted:** 2026-05-12

> Builds and maintains full-stack features for workflow engine, recipes, and assays enabling biotech manufacturing processes. Collaborates with AI teams and requires 3+ years experience with Python/React and AI-assisted development.

## Job Description

## 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

## Qualifications
- 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

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