Software Engineer, Developer Enablement

San Francisco, United StatesRemote

Responsibilities

Developer Interfaces & Platform APIs - Design, build, and maintain external developer-facing APIs and SDKs that power extensibility in Benchling’s platform.

We are rebuilding biotech for the AI era.
AI has the potential to change this, compressing decades of R&D work into years.
But that only happens when clean, structured scientific data and AI are built into how science gets done.
Benchling is the 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.
We’re building an AI scientist for our customers.
AI fluency is the foundation we build on; it's core to how we work, and we're committed to helping every new hire integrate it into their day-to-day.
As part of our interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about and use AI to drive impact in your role.
The team is working on a wide range of early- and mid-stage initiatives—including developer APIs, event delivery, AI-powered agents, and new platform infrastructure designed to support a growing ecosystem of scientific applications.
- Support the development of our Benchling MCP to enable AI agents to interact safely with Benchling’s data and APIs.
- Collaborate with our AI infra / agents teams to support the agentic ecosystem.

- Build and maintain delivery systems for real-time scientific data Bonus: AI Agents & Model Context Protocol (MCP) - Contribute to the development of APIs and interfaces that support AI-driven agents like Benchling’s Deep Research Agent and Data Entry Agent.
Bonus: APIs for ingesting/exporting large amounts of data - Architect and implement high-throughput APIs designed specifically for bulk data ingestion and export, capable of handling millions of records daily with minimal latency. - Design scalable API specifications (REST or gRPC) that support complex filtering, sparse fieldsets, and cursor-based pagination to efficiently manage large payloads.