Job description

Senior Software Engineer (Vibe Coding)

At Kyanon Digital, engineering excellence is built through strong technical leadership—where code quality, system reliability, and team capability come together to deliver real business value.

As a Senior Software Engineer (Vibe Coding), you will lead AI-native software development—using agentic coding tools and large language models as your primary means of building, prototyping, and shipping production software. You will turn ambiguous problems into clear specifications, orchestrate AI to generate and refine code at speed, and apply senior-level judgment to ensure everything that ships is correct, secure, and maintainable.

We are looking for engineers who treat AI as a force multiplier rather than a crutch—people who combine deep software fundamentals with fluency in modern AI tooling, and who are excited to define what high-velocity, high-quality engineering looks like.

Build, prototype, and ship production software through AI-assisted, agentic coding workflows.

Translate ambiguous requirements into clear specs and prompts AI coding tools can execute reliably.
Orchestrate AI coding agents (Claude Code, Cursor, Copilot) to generate, refactor, and test code, then harden to production.
Own code quality and system design, applying senior judgment so AI-generated code is correct, secure, and maintainable.
Design and integrate AI-powered features—LLM, RAG, agents, and automation—into products.
Build internal AI workflows, prompts, and tooling that raise team-wide development velocity and quality.
Collaborate with Product, Design, and QA, and share prompt patterns that grow AI-native engineering.

What You Need To Maximize Your Contribution

Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.
5+ years of experience building and shipping production software.
Hands-on experience with AI coding tools such as Cursor, Codex, Claude Code, GitHub Copilot, or Windsurf.
Strong command of prompt and context engineering — decomposing problems so AI produces reliable output.
Solid understanding of software architecture, design patterns, APIs, and testing—enough to review AI output.
Working proficiency with modern multiple tech stacks (HTML, CSS, JavaScript/TypeScript, Node.js, React/Next.js, PHP, .NET, etc.) or comparable.
Familiarity with agentic and AI-native workflows, and a mindset that treats AI as a force multiplier, not a shortcut.
Practical exposure to LLMs, RAG, AI agents, and an understanding of their strengths and limitations.
Strong product sense, a bias toward shipping, and the judgment to know when AI output is good enough.
Intermediate English communication skills or above.

Preferred

Experience building and shipping AI-powered or agent-based products in production.
Track record of rapid prototyping, hackathon-style delivery, or high-velocity product iteration.
Familiarity with cloud platforms, microservices, and modern DevOps / CI-CD practices.
Experience evaluating, integrating, or fine-tuning LLMs and AI services within software products.

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