Agentic

Sycle

1d•Remote

About The Position

Sycle is transforming how audiology practices operate with its cloud-based practice management platform, used by over 20,000 users globally. As a growing SaaS company with startup energy, Sycle is seeking a Senior Software Engineer to lead the engineering team's pivot to an AI-driven, agentic development workflow. This role involves championing high-quality execution by using AI tools for implementation planning, code reviews, test generation, and refactoring, aiming to scale engineering impact and achieve risk-free velocity. The engineer will contribute to governed AI adoption, optimized delivery flow, reliable verification through automated tests, and production integrity with a focus on zero critical defects and high security standards.

Requirements

5+ years of professional software engineering experience.
Strong technical command of PHP (Laravel) and Node.js.
Solid experience implementing scalable RESTful APIs, distributed microservices, CI/CD pipelines, and optimized databases.
Practical, hands-on experience using LLMs and agentic workflows for autonomous code, debugging, and test generation.
Strong background in automated testing frameworks (e.g., Playwright) and a proven ability to write comprehensive test suites that catch defects early.
A firm "verify output" mindset, taking full personal responsibility for the security, quality, and maintainability of your production code, regardless of how it was generated.
Clear verbal and written communication skills to collaborate effectively with technical teammates and product stakeholders.

Nice To Haves

Experience working within Healthcare IT or Practice Management Software.
Side projects, open-source contributions, or courses demonstrating active experimentation with LLM frameworks.

Responsibilities

Apply approved AI tools transparently, safely, and in compliance with company policies.
Execute tasks with modern efficiency to drive faster PR cycle times, quicker debugging, and tighter feedback loops.
Ensure all AI-assisted changes are rigorously backed by automated tests, review evidence, and clear acceptance criteria before reaching production.
Accelerate delivery output while maintaining a 0% critical-defect rate and upholding top-tier security standards.
Implement complex feature development and technical patterns across core PHP/Node services and AWS infrastructure, ensuring scalability and clean design.
Follow and enforce team-level practices (automated tests, static analysis, security checks) to keep AI and human code safe.
Strictly adhere to data compliance policies (PHI, data retention, and auditability).
Contribute to improving AI-assisted engineering practices, optimizing repository instructions, prompts, or context sources when AI outputs are weak.
Pair with and guide mid-level engineers on effective AI orchestration, demonstrating work breakdown, code review, and application of engineering judgment.
Partner with the team and Product Owners to convert business requirements and Gherkin/BDD specs into clear technical execution tasks optimized for AI-assisted tools.