AI Product Engineer

Triskele Labs

. Use frontier AI coding tools to design, build, test, and ship software products .

Posted 10/20/2026full-timeMelbourne • AustraliaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong expertise in shipping production software products end to end, utilizing frontier AI coding tools and modern Git-based workflows. Capable of engaging with stakeholders, ensuring security and operational readiness while improving client-facing products.

Highest-signal resume keywords

Frontier AI Coding ToolsGit-Based Source ControlCI/CD WorkflowsSoftware Engineering FundamentalsCybersecurity Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software ArchitectureData ModellingAPIsTestingOperational ReadinessFrontend DevelopmentBackend DevelopmentData IntegrationLLM-Powered FeaturesSecure Software Development Lifecycle

Soft Skills

Excellent Written CommunicationExcellent Verbal CommunicationHigh Personal AccountabilityDiscipline in High-Trust Roles

Tools & Technologies

Modern PaaSManaged BackendServerless PlatformsAI ServicesGit-Based Platforms

Certifications & Qualifications

Baseline ClearanceNV1 Clearance

Industry Keywords

CybersecurityMSSPMDRRegulated B2B SaaSOperational Leverage

Tech Stack

Tools & technologies

Cyber Security

About the role

Key responsibilities & impact

Use frontier AI coding tools to design, build, test, and ship software products
Plan, decompose, prompt and context engineer, evaluate, review, and verify every change before release
Own the quality, security, performance, and maintainability of production software
Stay current with frontier AI coding tools and evolve working practices
Inherit and extend internal and client-facing products built on modern PaaS, managed backend, and Git-based platforms
Work with the CTO and DevOps team on architecture, technical debt, and product roadmaps
Improve reliability, security, observability, and user experience of existing products
Identify opportunities for internal tools that create operational leverage
Identify opportunities for client-facing and commercial products
Propose, scope, prototype, and take new products through to production
Drive products end to end from discovery and design through build, launch, iteration, and sunset
Partner with DevOps and AI platform engineering on infrastructure, hosting, AI services, and shared platforms
Engage with SOC, DFIR, GRC, Commercial, and Corporate stakeholders to understand needs and validate solutions
Engage with clients to support, demonstrate, and improve client-facing products
Follow the Secure Software Development Lifecycle, mandated toolchain, data boundaries, and release gates
Apply clean architecture, sensible abstractions, sound data modelling, secure-by-default patterns, and pragmatic testing
Use Git-based source control, code review practices, and CI/CD pipelines
Prioritize security, privacy, and data classification
Document architecture, decisions, and runbooks

Requirements

What you’ll need

Demonstrated experience shipping production software products end to end, ideally across both internal tools and client-facing products
Strong working fluency with frontier AI coding tools as a primary engineering environment
Clear, articulate point of view on how to use frontier AI coding tools well
Experience with modern Git-based source control, code review, and CI/CD workflows
Strong product instincts: ability to identify a problem worth solving, scope it, build the smallest useful thing, and iterate
Experience designing and shipping internal tools that create meaningful operational leverage for a services business
Experience working in a small, high-leverage engineering team where individuals own product outcomes
Excellent written and verbal communication
Ability to operate as a peer to engineering leadership and engage credibly with stakeholders across the business
High personal accountability and discipline to operate well in a high-trust role without close day-to-day supervision
Australian citizen with the ability to obtain and maintain Baseline or NV1 clearance preferred
Prior experience in a cybersecurity, MSSP, MDR, or regulated B2B SaaS environment
Strong software engineering fundamentals: architecture, data modelling, APIs, testing, security, and operational readiness
Comfort working across the full stack, including frontend, backend, data, and integration layers
Experience with modern PaaS, managed backend, and serverless platforms, and the trade-offs between them and hyperscaler-native services
Experience building LLM-powered features into products, including retrieval, evaluation, and guardrails
A public portfolio, open-source contributions, or other evidence of self-directed building

Benefits

Comp & perks

Direct exposure to engineering leadership and autonomy to shape what you build
High-trust, high-accountability culture and direct exposure to executive leadership
Competitive salary aligned to senior engineering market rates
Performance-based incentives
Investment in training, certification, and conference attendance
Hybrid working out of the Melbourne office