AI Assisted Software Development Co-op

** Note

No relocation assistance or visa sponsorship is available for this position. **

Number of Position(s)

1

Duration

4 months

Dates

January 2027 - May 2027, full-time

Location

Onsite in Sunnyvale, CA

EDUCATIONAL RECOMMENDATIONS

Currently a candidate pursing a bachelor's degree or master's degree in Computer Science, Software Engineering, Artificial Intelligence or a related field with an accredited school in the United States.

• Develop and enhance AI workflows, features, and services under the guidance of senior engineers.
• Implement AI-assisted software development capabilities, including agent workflows, code generation, testing, and documentation automation.
• Support the development of reusable templates, frameworks, and best practices for Agentic PDLC, AI-SDLC, B-MAD, and modern software engineering processes.
• Develop integrations with development toolchains, CI/CD systems, repositories, issue management platforms, and AI services.
• Build and maintain automation for requirements management, design reviews, coding, testing, security scanning, and release readiness verification.
• Create dashboards, metrics, and reporting capabilities to measure engineering productivity and AI adoption.
• Develop and maintain technical documentation, tutorials, onboarding materials, and knowledge assets.
• Participate in sprint planning, backlog refinement, implementation, testing, and code reviews.
• Support proof-of-concept initiatives evaluating emerging AI engineering technologies and autonomous development workflows.
• Collaborate with product, support, SRE, and development teams to identify and implement productivity improvements.
• Demonstrate flexibility to collaborate across time zones as needed to support business requirements.
• Basic programming skills in Python and Go, with experience applying software development practices through academic coursework, internships, research, or personal projects.
• Interest in Generative AI, AI agents, large language models (LLMs), automation, and modern software engineering methodologies, including B-MAD, Loop Engineering, and AI-PDLC/AI-SDLC frameworks.
• Familiarity with cloud-native technologies, Linux environments, Git-based version control, and container platforms such as Docker and Kubernetes is preferred.
• Strong analytical, problem-solving, and communication skills, with the ability to collaborate effectively in a diverse, global team environment.