Software Engineer, Tools and Automation

The role

As a founding engineer for the AI & Data Engineering team, you will own the technical direction, architecture, and delivery of internal tooling and automation. You will build reliable internal systems and integrations to support internal AI capabilities and data infrastructure.

What you will do

• Define foundational architecture for internal tooling, automation, and integration patterns
• Write production code at least half of the time
• Stand up CI/CD, testing, and deployment infrastructure
• Graduate departmental prototypes into hardened, production-grade systems
• Build for multi-tenant isolation, secrets management, and access controls
• Coach power users and departmental teams on production patterns
• Build internal-facing developer experience like templates and SDKs
• Partner with data analytics peers on source-of-truth datasets and pipelines
• Turn vague process pain points into scoped engineering problems
• Set standards for code quality, testing, and documentation

Required qualifications

• 7+ years of professional software engineering experience building production systems
• Track record of building internal tools, automation, and systems integrations
• Understanding of how to optimize workloads across deterministic and non-deterministic capabilities
• Production experience with at least two of: Python, TypeScript/Node.js, Go
• Practical experience applying LLMs where they earn their place in a workflow
• Track record of going from zero to one
• Experience operating in regulated or security-sensitive environments
• Solid grasp of enterprise security fundamentals
• Comfortable exercising technical leadership independent of positional authority
• Build software with a product-first approach
• Strong communication skills with non-technical audiences

Nice to have

• Background in enterprise SaaS, life sciences, or biotech
• Familiarity with LLM orchestration and tool-integration patterns (MCP, agent SDKs from major model providers)
• Experience with async orchestration (Temporal, Prefect, Airflow) applied to long-running or agentic workflows
• Familiarity with SOC 2, HIPAA, or GxP compliance as they apply to AI systems
• Experience building internal developer platforms or internal tools at scale
• Direct experience coaching or enabling non-engineers to build with AI tooling
• Model research or ML engineering

Before you apply

• You'll complete a brief AI-focused exercise or discussion as part of the interview process

About the company

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.