Skip to main content

Software Engineer (Artificial Intelligence)

Expired
This role has expired and is no longer accepting applications. Browse similar roles →
UXT PTY LTD
Stanmore NSW
Full Time

Apply for this job

Posted 5 months ago
This role is expired

These roles are hiring now

View all similar roles →

AI Enablement Partner - HR

Canva
Sydney, NSW
hybrid
  • Design AI automations across People tech stack using platforms like Workato
  • Experience building production-ready automations and AI copilots/agents
  • HR Tech, AI/LLM workflows, automation, system integration, data accuracy
Posted 7d ago

Senior Software Engineer - AI Developer Tooling Workflows

Canva
Melbourne, VIC | Sydney, NSW
  • Build AI tooling infrastructure and enhance developer workflows
  • Strong experience with Python and/or Go
  • AI tooling, APIs, CI/CD, LLMs, prompt engineering
Posted 7d ago

AI Enablement Partner - HR

Canva
Sydney, NSW
hybrid
  • Design & build AI automations across People tech stack
  • Experience building production-ready automations with Workato or similar
  • AI agents, LLM copilots, intelligent workflows, HR Tech systems
Posted 7d ago

AI Forward Deployed Engineer

Zip Co
Sydney, NSW
  • Deploy AI agent solutions using Zip's AppStudio for enterprise procurement
  • 3+ years enterprise procurement, finance operations or related function
  • AI agents, AppStudio, Claude, N8N, Make, Zapier, API integrations
Posted 9d ago
Job description

The Role

We are seeking a focused and technically sharp AI Software Engineer to join our engineering team. In this role, you will apply your academic training and recent industry experience to build the next generation of our internal operational tools.

You will work directly on the intersection of software, Artificial Intelligence, and Audio-Visual (AV) hardware, creating bespoke solutions that empower our support teams to manage complex infrastructure with precision.

Your Core Mission: Intelligent Tooling

Your primary objective is to engineer sophisticated internal platforms that transform how we deliver AV support. You will turn manual support processes into automated, AI-enhanced workflows.

Operational Intelligence: Develop software that acts as a “force multiplier” for our support technicians, utilising data to visualise system health. Predictive Maintenance Engines: Implement ML models that analyse telemetry to predict AV device anomalies before they cause downtime. Automated Diagnostics: Build “Agentic” workflows that autonomously test, diagnose, and reset AV equipment (Crestron/AMX/Cisco) without human intervention.

Key Responsibilities Software Engineering (AI): 

Implement embeddings pipelines and vector search systems to power intelligent search and diagnostic tools. Develop & Deploy: Write clean, efficient code in Python, JavaScript, and C++ to support backend microservices and automation scripts. AI Implementation: Build and maintain RAG pipelines, vector search systems, and AI agents for internal knowledge bases and diagnostic tools. Platform Integration: Create integrations between cloud services (AWS/Azure) and on-premise AV hardware to ensure seamless data flow. Data Visualisation: configure Elastic AI Agents to provide real-time insights into system performance for the support team.

Essential Requirements Formal Education: You must hold minimum qualifications Bachelor of Software Engineering with a Major in Artificial Intelligence. Minimum of 1 year of experience in AI development. Minimum of 2 years of experience in AV Systems (Crestron, AMX, Q-SYS etc) Experience with front-end frameworks such as React, Angular.

Technical Proficiency: In-depth understanding of Vector Databases and Embedding techniques. Proficiency in ML(DL) models and tools. Knowledge of Python, JavaScript/Node.js, C++, php Hands-on experience with n8n, Node-RED, or similar workflow orchestration tools. Familiarity with local LLM models and hardware. Domain Interest: A strong interest in AV systems, IoT, and hardware-software integration is essential.

This is an office based role