Software Engineer - Internal Tools
Build AI-enabled internal tools, automations, integrations, and dashboards that streamline incident response, support, and engineering operations. The role suits an early-career software engineer comfortable with TypeScript, Ruby, or Go, LLM APIs, and in-office collaboration in San Francisco.
About the job
Responsibilities
- Build AI-enabled tools and agents that automate manual work across engineering, support, and operations.
- Write bots and integrations for Slack, PagerDuty, and other business systems.
- Build internal dashboards that provide visibility into operational and service-quality metrics.
- Integrate LLM APIs and AI coding tools into internal systems.
- Automate incident response, customer support workflows, onboarding, and other repetitive processes.
- Ship small, useful solutions quickly and iterate based on user needs.
- Work with senior engineers and leadership to identify and resolve operational friction.
- Own projects end to end, including design, development, deployment, and support.
Requirements
- 0–2 years of professional software engineering experience, or equivalent project or internship experience.
- Solid fundamentals in at least one of TypeScript, Ruby, or Go.
- Experience building with AI coding tools and LLM APIs.
- Ability to write scripts, small services, or automations that solve real problems.
- Clear written communication.
- Willingness and ability to work in person from the San Francisco office.
Nice to Have
- Experience with the Slack API, GitHub Actions, or similar automation platforms.
- Exposure to Terraform or Kubernetes.
- A side project, bot, or tool built to automate a task.
Compensation
- Base salary range: $120,000–$160,000 USD.
- Total compensation may include base salary, variable compensation where applicable, benefits, and equity.
Skills
TypeScript, Ruby, Go, LLM APIs, Ai Coding Tools, Slack Api, Pagerduty, GitHub Actions, Terraform, Kubernetes
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