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AI Software Engineer

Rush Digital
1 day ago
Full-time
Remote friendly (Albert-Eden, Auckland, New Zealand)
Worldwide
ML & AI Engineering

Senior AI Software Engineer


About Us



At RUSH, we believe in building a culture of excitement, collaboration, and growth.
We are an integrated design + technology studio.
We design and build technology with a focus on making a positive impact on people's lives.
We’re a diverse team of big-picture thinkers, creative minds, and technical problem solvers, all united by our passion for creating human-centred experiences.


About the Role


You are a hands-on engineer who combines technical depth with leadership.
You write clean, maintainable code, mentor others, and thrive in collaborative, fast-moving environments. You will bridge the gap between traditional senior-level engineering foundations and modern, AI-accelerated execution methodologies.


Key Responsibilities & Requirements


Traditional Engineering (Senior Level)


  • Professional Senior software engineering experience 

  • Strong architectural judgement: can shape approaches, trade-offs, integration boundaries, and technical direction on client engagements

  • Comfortable owning delivery from problem to working software
  • Experience using AI-assisted development utilising tools like Cursor, Claude Code, or Copilot-class tools. Insight to know when to trust, verify, and rewrite AI outputs.

  • Hands-on experience embedding LLMs in applications/workflows.
    Practical understanding of LLM limitations
  • Naturally articulate in technical conversations with engineers and stakeholders, with the ability to explain trade-offs and progress clearly.

  • Comfortable in enterprise contexts
  • Deriving your absolute technical credibility from active, hands-on building rather than slide-only advisory work.

  • Teaching by doing: working alongside peers to leave client teams significantly more capable and self-sufficient over time, not dependent.


Nice to Have

  • experience in embedded / squad models, such as innovation, transformation, or platform teams inside large organisations.

  • Direct exposure to AI Enablement delivery

  • Experience taking prototypes toward production 

  • Familiarity with agentic patterns

  • Experience scoping or contributing to initial discovery phases 

  • Active contribution to internal engineering culture


Ready to take charge?
We'd love to hear from you