FullStack is one of the fastest-growing software consultancy companies in the Americas, focused on delivering transformational digital solutions. The Principal Agentic Engineer will serve as a strategic consultant and technical lead, helping clients transition to AI-augmented engineering productivity.
Responsibilities:
- Define the architecture of how global enterprises adopt agentic workflows
- Serve as a strategic consultant and technical lead for regulated industries and Fortune 500 clients
- Assess current engineering states and define roadmaps for implementing agentic solutions
- Engage with engineering leadership to defend architectural decisions and consult on industry best practices
- Design development processes where AI systems generate the majority of implementation code while maintaining rigorous human-in-the-loop validation
- Structure codebases and specifications to produce reliable, context-efficient AI output
- Walk clients through complex proposals and represent the FullStack team with confidence
Requirements:
- 8-10+ years of professional software development experience with a deep understanding of full-stack architectures (e.g., Java, Python, C#, React, Node, React Native, etc.)
- Advanced English is required
- Successful completion of a four-year college degree is required
- Proven experience as a Solution Architect or Principal Engineer, with the ability to assess current engineering states and define roadmaps for implementing agentic solutions
- Deep fluency in Agentic Tooling like Claude Code, Cursor, GoCloud, or GitHub Copilot, specifically within agentic workflows that coordinate implementation across large, multi-file systems
- Ability to engage with engineering leadership (CTOs, VPs of Engineering) to defend architectural decisions, consult on industry best practices, and measure ROI/Developer Productivity (Cycle Time, Lead Time)
- Experience designing development processes where AI systems generate the majority of implementation code, while maintaining rigorous human-in-the-loop validation
- Strong skills in structuring codebases and specifications to produce reliable, context-efficient AI output
- Exceptional soft skills; ability to walk clients through complex proposals and represent the FullStack team with confidence
- Forensic attention to detail
- A positive mindset and a can-do attitude
- Experience working on Agile / Scrum teams
- Meaningful experience working on large, complex systems
- Ability to take extreme ownership of your work. Every day is a challenge to ensure you are performing to the expectations you and your team have agreed upon
- Ability to identify with the goals of FullStack's clients, and dedicate yourself to delivering on the commitments you and your team make to them
- Ability to consistently work 40 hours per week