Software Engineer 1, Dev Accelerator at Abnormal AI in Remote

Summary: Abnormal AI is a company focused on building and operating internal developer platforms. The Software Engineer on the Dev Accelerator team will contribute to the development of tools and libraries that support backend development, ensuring reliable outcomes and improving CI/CD processes. Responsibilities: - Contribute to the internal developer platform that supports backend development across the company, from local developer workflows to shared services and libraries - Build and improve scoped pieces of developer tooling, including CLI and scaffolding workflows that help engineers create and ship new services safely and consistently - Help maintain and improve CI/CD, linting, and testing workflows in the monorepo, with a focus on reliability, fast feedback, and keeping main healthy - Contribute code to shared Go and Python libraries and services, learning the team’s patterns for safe, maintainable, and consistent usage - Use AI to explore approaches, automate repetitive work where appropriate, and iterate on implementations until they meet real production standards - Debug issues, write tests, and validate behavior in real environments rather than relying only on generated output or assumptions - Improve team documentation, examples, and shared context so both engineers and AI tools can produce better results over time Required Qualifications: - 1+ years of professional development experience or 2+ years of consistent open source contributions - Relevant software engineering experience through internships, co-ops, research, open-source work, substantial project work, or early-career full-time roles that demonstrate readiness to contribute in a production environment - Strong software engineering fundamentals and the ability to write, test, debug, and improve production-quality code - Experience with Python or Go, plus willingness to learn whichever language is less familiar for the role - Familiarity with modern development workflows such as version control, code review, testing, and CI/CD - Good judgment when using AI tools for engineering work: you can evaluate outputs, catch incorrect or incomplete solutions, and refine them to fit real system constraints - Comfort taking ownership of scoped problems end-to-end, asking for help when needed, and steadily increasing independence - Strong learning mindset, adaptability, and openness to feedback in a fast-moving platform environment - Clear communication and a collaborative approach to working with teammates and internal customers Preferred Qualifications: - B.S. degree in computer science or related field - Internship, co-op, or early-career experience building internal tools, backend services, or developer productivity tooling - Exposure to monorepo development, CI/CD pipelines, or build systems - Familiarity with Go/Python shared libraries, gRPC/Protobuf APIs, or cloud-based backend systems - Interest in developer experience, self-service platforms, or Golden Path tooling - Curiosity about AI-native developer workflows and excitement about improving how engineers build software with AI Required Skills: Software engineering fundamentals, Python, Go, Version control, Code review, Testing, CI/CD, AI tools for engineering, judgment, learning mindset, Openness to feedback, Collaborative approach Benefits: Bonus or incentive compensation, Equity, Comprehensive benefits package