Quick Overview
Seniority
Mid Senior
Employment type
Full Time
Work mode
On Site
Location
Sunnyvale, United States
Posted
2 days ago
DockerGenerative AIGitKubernetesOnboardingPython
Job Description
** 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.
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