Software Engineer
Posted 9 Jun 2026
Advertised as “Agile Software Engineer - Co-op”
BranchFactor Summary
The original posting with the fluff stripped out
- Management level
- Individual contributor
- Contract
- Internship
No salary listed for this role.
Shape the Future with TribalScale
TribalScale is a digital innovation firm that helps organizations adapt and thrive in a rapidly changing world. We partner with clients to build transformative digital products, modernize technology platforms, and apply emerging technologies—including artificial intelligence—to meaningful business challenges.
Our teams work closely with clients from strategy through execution. We value curiosity, ownership, practical innovation, and people who are comfortable turning ambiguity into action.
Our Digital Expertise
- Transformation Experts: We transform traditional business models into agile, AI-powered ecosystems.
- Strategic Visionaries: We navigate the uncharted waters of technological evolution.
- Product Virtuosos: We orchestrate the creation of world-class digital solutions.
- Code Optimizers: We leverage AI to refine and perfect digital systems.
Our Technological Toolkit
- Mobile & Web Development: (iOS, Android, React Native, React, Node.js)
- Voice-Activated Platforms: (Amazon Alexa, Google Home)
- Connected Ecosystems: (Cars and Homes)
- Streaming Platforms: (Roku, Fire TV, Android TV, tvOS)
The TribalScale Professional
You thrive in challenging environments where innovation is key. Your passion for technology is matched only by your drive to redefine its limits. You seek more than a job; you seek a calling—a chance to make a lasting impact on the digital landscape.
Your Responsibilities
- Build full-stack applications using modern technologies (frontend, backend, APIs)
- Work on real client projects across a variety of industries
- Collaborate with engineers through pair programming and AI-assisted development
- Use AI tools (Copilot, Claude, etc.) to:
- Generate and refine code
- Debug and iterate faster
- Explore alternative technical approaches
- Design and build agentic workflows where AI systems:
- Execute multi-step tasks
- Interact with APIs and external tools
- Support product functionality and internal workflows
- Integrate LLM-powered features such as: