Software Engineer 1 - Backend

This position exists to develop and enhance the customer onboarding experience and set up systems owned by the Customer Journey (CJ) team, within the Multi-Product Platform (MPP) division. The role plays a critical part in helping the team deliver on its mission: making POV (Proof of Value) onboarding smoother, faster, and increasingly self-serve. You will contribute directly to the backend systems that take enterprise customers from evaluation to full deployment, and help strengthen the team’s ability to deliver reliable, automated onboarding workflows at scale.

Abnormal AI is looking for a driven and growth‑oriented Backend Software Engineer to join the Customer Journey (CJ) team. The team builds and maintains Abnormal’s customer onboarding and tenant management systems within the Multi-Product Platform (MPP) division. As a member of the team, you will build and scale backend services, contribute to automating manual steps in the onboarding process, and help decouple downstream systems from the onboarding pipeline. You’ll work across APIs, backend services, and data workflows to solve technical challenges related to large-scale customer provisioning at scale. We’re looking for candidates who are eager to learn, excited to work collaboratively, and motivated by building systems that directly impact how customers experience Abnormal.

• 2+ years of experience as a software engineer with a strong foundation in coding and problem-solving.
• 1+ years of hands-on experience in backend development using Python or Golang, with exposure to cloud-native environments.
• Solid understanding of databases, REST APIs, and data pipelines.
• Familiarity with LLMs and AI development tools such as Cursor, GitHub Copilot, or Claude.
• Experience working individually as well as in groups on a regular basis.
• Experience working with distributed teams, proficient in asynchronous and written communication.
• Experience building features and components from scratch and operating them, balancing feature development with operational tasks.

• Experience with Apache Airflow
• Familiarity with AWS services and deployment practices.
• Experience in building a feature or component from scratch

Once you apply, you’ll be invited to our AI-powered Development Challenge, where you’ll gain hands-on experience with AI-powered tools like Cursor and Copilot to build real-world application features. This challenge is a take-home assignment, requiring 2-4 hours of work to be completed within one week - apply when you’re ready!

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