AI-Driven Software Engineer (Production AI) - Remote NZ

Remote Freelance; Auckland; Hybrid; NZD 110,000 - 140,000; Full time

Benefits offered by this job

NZ remote option

Bay of Plenty on-site option

Good salary and benefits

Job summary

Remote Freelance is seeking a capable AI-focused software delivery lead to direct, review and own software built with AI within a small, high-performing NZ-based team. You’ll collaborate with engineers, testers, BAs and product owners on production AI-enabled systems.

You will frame problems, specify work precisely for agents, ensure engineering fundamentals are upheld, and explain technical decisions to non-technical stakeholders while driving value through responsible AI delivery.

Qualifications

• Demonstrated experience directing AI coding tools on production work.
• Evidence of writing specifications or requirements that other people, or agents, built from.
• Three or more years developing and supporting software in production use.
• Relational database experience with MSSQL or PostgreSQL, including schema design and query tuning.
• Daily use of Git, and practical experience with CI/CD pipelines.

Responsibilities

• Direct AI coding tools on production work and assess outputs.
• Frame problems and specify work precisely for agents to build.
• Work with engineers, testers, BAs and product owners in a small delivery team.
• Uphold strong engineering fundamentals and lifecycle processes; explain technical decisions to non-technical staff.

Skills

AI tooling experience

Software delivery leadership

Git & CI/CD

Automated testing

Explain technical decisions

Tools

MSSQL

PostgreSQL

CI/CD pipelines

Job description

Remote Freelance is seeking a capable AI-focused software delivery lead to direct, review and own software built with AI within a small, high-performing NZ-based team. You’ll collaborate with engineers, testers, BAs and product owners on production AI-enabled systems.

You will frame problems, specify work precisely for agents, ensure engineering fundamentals are upheld, and explain technical decisions to non-technical stakeholders while driving value through responsible AI delivery.