In-Demand Ai & automation engineer Jobs

Software Engineer (Gen AI and Automation)
Calab.ai —Remote
- $70,000 - $80,000 a year
- Full-time
- Remote
- Azure
- Computer Science
- DevOps
- Annual leave
- Work from home
Quick Apply
AI & Automation-Engineer
UpGuard —Sydney NSW
- $1,500 a month
- Full-time
- Remote
- Azure
- Master's degree
- Databases
- Annual leave
- Parental leave
Copy of AI Code Reviewer & Systems Evaluation Engineer 1
Lifted, an Upwork Company™ —Canberra ACT
- Contract
- Remote
- Databases
- Analysis skills
- APIs
Quick Apply
Marketing Automation Engineer (AI)
Employment Hero —Sydney NSW
- Full-time
- Remote
- Management
- Salesforce
- SQL
- Parental leave
Quick Apply
GTM Sales Engineer and AI Automation Specialist
Squiz —Brisbane QLD
- Full-time
- Hybrid work
- CRM software
- Salesforce
- Analysis skills
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3d
Data and AI Engineer
TrendPac —Berkeley Vale NSW
- Full-time
- Azure
- Computer Science
- Engineering
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Lead Software Engineer - AI & Automation
First Focus —Adelaide SA
- $140,000 - $180,000 a year
- Full-time
- Hybrid work
- Microsoft Powerpoint
- Azure
- APIs
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Senior Security Engineer (AI & Automation)
Flywire —Greater Adelaide SA
- Full-time
- Hybrid work
- DevOps
- Master's degree
- AWS
- Employee stock purchase plan
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Software Engineer â€“ Engineering Enablement (AI, Quality & Platform Reliability)
The Argyle Network —Sydney NSW
- $850,950 a year
- Full-time
- AI
Senior Solution Architect, AI Compute Engineer - NVIS
NVIDIA —Remote
- Full-time
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- Management
- Doctoral degree
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Binance Accelerator Program - Applied AI Agent Engineer
Binance —Brisbane QLD
- Full-time
- Remote
- Computer Science
- Master's degree
- Databases
Quick Apply
CI/CD Senior Engineer (Automation & Standards)
Accenture —Canberra ACT
- Full-time
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- SDLC
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Obsidian Security —Remote
- On call
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- Computer Science
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Graduate AI & CX Engineer
Datacom —Sydney NSW
- Full-time
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Generative AI Engineer
ResMed —Sydney NSW
- Full-time
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Senior Engineer - AI Workflows
Xero —Sydney NSW
- Full-time
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- Salesforce
- APIs
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- Work from home
Senior Network Automation Engineer
Megaport —Remote
- Full-time
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Deployment Engineer
Cellebrite —Remote
- Full-time
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- Laboratory
- Azure
- DevOps
Quick Apply
Full Stack Software Engineer - Agentic AI
NinjaTech AI —Sydney NSW
- $160,000 - $190,000 a year
- Full-time
- Computer Science
- AWS
- Bachelor's degree
- Health insurance
- Annual leave
Senior Site Reliability Engineer- Remote
Clickhouse —Remote
- On call
- Remote
- Azure
- Computer Science
- Master's degree
- Health insurance

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Software Engineer (Gen AI and Automation)

Calab.ai -
Remote

Quick Apply

Job Details

Permanent | Full-time
$70,000 - $80,000 a year

Benefits

Annual leave
Work from home

Qualifications

Azure
Computer Science
DevOps
Engineering
Master's degree
Docker
Machine learning
GitHub
Scalability
Agile
Front-end development
AI
Communication skills

Full Job Description

About Calab.ai

At Calab.ai, we don’t just follow trends — we set them. Our mission is clear: to lead the way in Generative AI and Automation, accelerating businesses into the future of intelligent, digital operations. We’re redefining what’s possible through Generative AI & Data, Intelligent Automation, and next-gen Infrastructure & Applications. Headquartered at Level 1, 60 Martin Place, Sydney, we partner with some of the world’s most complex enterprises to deliver high-impact, AI-powered solutions. Our team is growing fast, and we’re looking for exceptional talent to help shape the future of enterprise automation.

About the Role

We are seeking a full-time Software Engineer (GenAI & Automation) to take ownership of designing, developing, and deploying breakthrough AI-powered automation solutions for enterprise clients. This role sits at the cutting edge of Generative AI and intelligent automation, where you’ll collaborate with a diverse team of innovators pushing the boundaries of technology every day. The ideal candidate will combine deep technical expertise in Python and Microsoft Azure with a consulting mindset, strong communication skills, and a relentless curiosity for emerging GenAI capabilities. The role offers a clear path to career growth alongside a fast-scaling company delivering real-world impact at the intersection of AI and enterprise automation.

Duties include but are not limited to;

Lead Innovation

Design, develop, and maintain advanced Generative AI and automation systems that revolutionise operational efficiency for enterprise clients. Tailor GenAI frameworks for specific client use cases, implementing advanced techniques such as Retrieval-Augmented Generation (RAG) and Vector Search to solve complex business challenges.

Accelerate Development

Build highly reusable, modular libraries and frameworks to speed up solution deployment, cutting development time and delivering client value faster. Leverage modern tooling including GitHub and Azure DevOps to ensure seamless collaboration, version control, and deployment pipelines.

Define Best Practices

Establish standards and reusable patterns that drive technical excellence across multiple client engagements. Contribute to internal knowledge sharing and uplift the wider engineering team through code reviews, documentation, and mentoring.

Solution Ownership

Produce clear, comprehensive solution design documents that bring client projects to life. Work within Agile frameworks — engaging in user stories, sprint planning, and retrospectives — to design and deliver solutions grounded in real client needs.

Iterate Fast

Troubleshoot, debug, and refine intelligent solutions to solve real-world challenges at enterprise scale. Take ownership of issues end-to-end, from root-cause analysis through to production deployment.

Stay Ahead

Continuously update your knowledge on the latest GenAI developments and integrate new innovations into client solutions. Evaluate emerging models, frameworks, and Azure AI Services to keep our offering at the leading edge.

Requirements and skills

Strong proficiency in Python and the Microsoft Azure ecosystem, including Azure AI Services (Form Recognizer, Custom Vision), with proven experience building and deploying scalable solutions
Hands-on experience implementing Generative AI techniques such as RAG and Vector Search for production use cases
Hands-on experience with modern development tools including GitHub and Azure DevOps
Demonstrated experience working in Agile frameworks, delivering against user stories, sprint commitments and client outcomes
Master’s degree in engineering, Computer Science, or an equivalent proven technical foundation
Excellent communication skills, with the ability to translate complex technical solutions for client audiences
A growth mindset — relentlessly curious, with a drive to learn, improve, and evolve

Highly desirable

Hands-on experience with Azure Integration Services (Azure Functions, Azure Logic Apps) or equivalent frameworks (Python Flask, Node.js)
Familiarity with Azure Data Services (Synapse, Data Factory, Azure Databricks) or other machine learning tooling
Consulting experience working alongside top-tier strategy firms to deliver high-value, time-critical outcomes
Containerisation experience with Docker, Kubernetes, or similar technologies
Front-end development experience using React or similar frameworks

What’s in it for you

Limitless growth — your career trajectory is yours to define, with a clear path to promotion and hands-on learning alongside a fast-scaling company
Global impact — work on high-impact projects for world-class enterprise clients where your contributions drive real change
Flexible environment — fully remote work
Equipment supported — laptop and work-from-home setup (e.g. second monitor) reimbursed or procured by CA Labs
Generous leave — 20 days annual leave plus 10 days personal/carer’s leave per year
Discretionary annual bonus based on performance
Collaborative excellence — join a team driven by passion, innovation, and pushing the boundaries of what’s possible at the intersection of AI and enterprise automation

Email your covering letter and resume to [email protected].

Pay: $70,000.00 – $80,000.00 per year

Benefits:

Work from home

Work Location: Remote

Quick Apply

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