Senior AI Software Engineer — Enterprise AI Co-Workers

Future Secure AI

Auckland

On-site

NZD 140,000 - 190,000

Full time

14 days+

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Job summary

Future Secure AI in New Zealand is building cutting-edge Enterprise AI products. We are hiring Senior Software Engineers (AI) to work with engineering and customer delivery teams, moving between hands-on coding and broader product conversations.

If you thrive when the problem is ambiguous, you’ll fit in here. You’ll contribute to building secure, scalable AI co-worker systems and ensure model-agnostic integration with leading AI frameworks.

Qualifications

  • 7+ years of software development experience with recent hands‑on AI work.
  • Strong coding fundamentals; we primarily use Node.js and TypeScript.
  • Experience with AI frameworks and orchestration tools such as LangChain or LangGraph.
  • Experience building systems where security and data governance are first-class design constraints, not afterthoughts.

Responsibilities

  • Building AI Co-Worker systems that enable enterprise customers to deploy persona-based AI Co-Workers that perform complex, end-to-end operational workflows through their own secure platform.
  • Ensuring our platform remains model-agnostic, integrating LLMs and AI frameworks from both established and emerging vendors.
  • Building and integrating secure, scalable APIs across large-scale enterprise environments.
  • Working closely with customers to deeply understand their needs and make sure solutions exceed their expectations.

Skills

Hands-on AI experience
Strong coding fundamentals
Problem-solving

Tools

Node.js
TypeScript
LangChain
LangGraph

Job description

Future Secure AI in New Zealand is building cutting-edge Enterprise AI products. We are hiring Senior Software Engineers (AI) to work with engineering and customer delivery teams, moving between hands-on coding and broader product conversations.

If you thrive when the problem is ambiguous, you’ll fit in here. You’ll contribute to building secure, scalable AI co-worker systems and ensure model-agnostic integration with leading AI frameworks.

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