As an
AI Software Engineer I at ASI, you are responsible for supporting the development of internal AI-powered tools and applications under direct supervision. You contribute to front-end and back-end development tasks, assist with integration work, and build foundational skills shipping functional software within the internal platform.
Responsibilities- Build front-end components and back-end services for internal applications following established architectural patterns.
- Assist in scaffolding and configuring new tools and prototypes within the internal AI platform.
- Support implementation of authentication flows, API wrappers, and access control features under supervision.
- Document tool usage, configuration steps, and onboarding materials to support team adoption.
- Participate in code reviews to receive feedback and develop software quality practices.
- Apply modern AI development frameworks, large language model (LLM) APIs, and integration patterns under guidance.
- Identify and escalate bugs, performance issues, and integration failures to senior engineers.
- Contribute to cloud deployment tasks on Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) under direction.
Qualifications- Bachelor's degree in Computer Science, Software Engineering, or related field.
- 0-2 years of experience in full-stack software development.
- Familiarity with front-end frameworks such as React, Vue, or Angular.
- Exposure to back-end development using Node.js, Python, or similar languages.
- Basic understanding of cloud platforms (AWS, Azure, or GCP).
- Familiarity with version control workflows using Git.
- Exposure to AI/ML APIs or large language model (LLM) integration patterns.
Physical Requirements- Ability to remain in a stationary position at a computer workstation for extended periods.
- Ability to operate a computer and other office productivity equipment continuously.
- Ability to communicate and exchange information in person, via phone, and through electronic means.
- Ability to traverse office, lab, data center, and field environments as required.
