Agentic

Sycle

About The Position

Sycle is seeking a Staff Software Engineer to serve as the technical anchor for their team as they pivot to an AI-driven, agentic development workflow. This role will bridge architecture and execution by defining how the team safely leverages approved AI tools for implementation planning, code reviews, test generation, and refactoring. The goal is to scale human engineering judgment to achieve risk-free velocity. Success will be measured by governed AI adoption, optimized delivery flow, reliable verification and quality gates, and production integrity.

Requirements

7+ years of professional software engineering experience.
Deep technical command of PHP (Laravel) and Node.js.
Proven experience designing scalable RESTful APIs, distributed microservices, CI/CD pipelines, and optimized databases.
Hands-on experience moving beyond basic LLM chat to orchestrate parallel, multi-agent workflows for autonomous code and test generation.
Strong background in automated testing frameworks (e.g., Playwright) and defining strict failure scenarios to catch defects before human review.
A strong "verify output" mindset, taking full responsibility for the security and quality of production code, regardless of how it was generated.
Clear verbal and written communication skills to effectively convey technical and AI concepts to both technical teammates and product stakeholders.
Candidates must be located within British Columbia (BC), Alberta (AB), or Ontario (ON).

Nice To Haves

Experience working within Healthcare IT or Practice Management Software.
Side projects or courses demonstrating experimentation with LLM fine-tuning or agentic frameworks.

Responsibilities

Serve as the technical anchor for the team, defining how AI tools are leveraged for implementation planning, code reviews, test generation, and refactoring.
Ensure AI tools are utilized transparently, safely, and in compliance with company policies.
Drive measurable lifecycle improvements, including faster PR cycle times, quicker debugging, and tighter developer feedback loops.
Ensure all AI-assisted changes are rigorously backed by automated tests, shadow runs, evaluation sets, and clear acceptance criteria before reaching production.
Accelerate delivery speed while maintaining a 0% increase in critical defects, security vulnerabilities, or operational risk.
Drive the architecture and technical patterns for the team's projects, ensuring seamless integration between core PHP/Node services and AWS.
Define team-level practices (automated tests, static analysis, security checks) to keep AI and human code safe.
Partner with security teams to ensure workflows strictly comply with PHI, data retention, and auditability policies.
Systematically improve repository instructions, prompts, evaluation rules, or context sources when AI outputs are weak.
Coach mid and senior engineers on effective AI orchestration, including work breakdown, code review, and identifying when manual judgment is required.
Partner with Product Owners to convert business requirements and Gherkin/BDD specs into clear technical plans and acceptance criteria optimized for AI-assisted tools.