In-Demand Software engineer (ai, python, aws) Jobs

AI Engineering Consultant
Practiv —Sydney NSW
- Full-time
- Hybrid work
- Azure
- Master's degree
- AWS
Quick Apply
Senior DevOps Engineer
CreditorWatch —Sydney NSW
- Full-time
- Hybrid work
- DevOps
- AWS
- APIs
- Gym membership
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Senior Machine Learning Engineer (Platform / MLOPs)
Nearmap —Barangaroo NSW
- Full-time
- Hybrid work
- Computer Science
- Engineering
- Master's degree
- Vision insurance
- Free food
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Senior DevOps Engineer
Weel —Sydney NSW
- Hybrid work
- AWS
- AI
- Leadership
- Parental leave
- Employee assistance program
Senior DevOps Engineer
Propeller —Sydney NSW
- Full-time
- Hybrid work
- AWS
- AI
- Parental leave
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Senior Engineer/ Tech Lead - Cloud and Analytics platform
Macquarie Group Limited —Melbourne VIC
- Full-time
- Hybrid work
- Master's degree
- Administrative experience
- AWS
- Annual leave
- Work from home
Senior Solution Architects / Senior Cloud Engineer
FinXL —Sydney NSW
- Contract
- Azure
- AWS
- AI
14d
Senior Software Engineer, Site Reliability
Anduril Industries —Sydney NSW
- Full-time
- Azure
- Computer Science
- Software troubleshooting
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Senior Backend Engineer, Spend Team (Cards)
Airwallex —Melbourne VIC
- Full-time
- Hybrid work
- Computer Science
- Salesforce
- AWS
Senior Backend Engineer
AutoGrab —South Yarra VIC
- Full-time
- Hybrid work
- AWS
- Machine learning
- Scripting
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Associate Technical Consultant (ATC)
Daon Inc —Canberra ACT
- Full-time
- Hybrid work
- Computer Science
- AWS
- Bachelor's degree
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Senior DevOps Engineer - Azure
Heidi —Sydney NSW
- Full-time
- Hybrid work
- Azure
- Management
- AI
- Gym membership
Lead Site Reliability Engineer
Heidi —Melbourne VIC
- Full-time
- Hybrid work
- DevOps
- Databases
- AWS
- Work from home
- Parental leave
1d
Site Reliability Engineer
Future Secure AI —Melbourne VIC
- On call
- Azure
- DevOps
- AWS
Quick Apply
Senior Site Reliability Engineer
Dynatrace —Sydney NSW
- Full-time
- Hybrid work
- Azure
- AWS
- Scripting
- Employee stock purchase plan
- Health insurance
Harness Consultant
Infosys —Brisbane QLD
- $129,311 - $142,018 a year
- Azure
- Computer Science
- DevOps
- Health insurance
- Parental leave
Senior Software Engineer, App Analysis & Modelling
MongoDB —Sydney NSW
- Hybrid work
- Azure
- Computer Science
- SQL
- Parental leave

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AI Engineering Consultant

Practiv
Sydney NSW

Quick Apply

Job Details

Full-time

Qualifications

Authentication
Azure
Law
MCP
Google Cloud Platform
Master's degree
AWS
APIs
Solution architecture
AI

Full Job Description

About Practiv

Practiv is one of the fastest growing Data consultancies in ANZ, with a presence across Melbourne, Sydney, Auckland, and Wellington. We are a Snowflake Premier Partner and also highly experienced cloud practitioners across all major cloud providers.

We work on cutting-edge projects that combine cloud infrastructure, data engineering, and AI innovation. As we continue to expand our AI capabilities, we're looking for talented professionals who are passionate about building practical, high-value AI solutions that make a real impact.

The Role

We're seeking an experienced AI Engineering Consultant to join our growing team. This is a hands-on role focused on designing, building, and deploying secure, and valuable AI solutions. We need someone that can deeply integrate AI into our clients' technology stacks to unlock business value.

As a Practiv consultant you will join a team of passionate Data, Cloud & AI technologists who help deliver end-to-end technology solutions for our customers. You'll analyse and understand a variety of business processes by asking the right questions, then automate or optimise them through AI. You'll solve real problems for clients across different industries and sizes.

If you are an AI engineer and enthusiast that can ship production-grade solutions and not just proof-of-concepts, this job is for you!

What You'll Do

Architect, build, and deploy AI solutions that solve real client business problems, involving a range of cutting edge technologies such as AI Agents, RAG, MCP Servers
Analyse business processes and identify opportunities for AI-driven automation and optimisation
Develop and maintain production-grade software using AI-assisted workflows and coding assistants
Build and integrate APIs, websites or applications of different types
Establish developer experience patterns, prompt engineering standards and tooling that uplift teams of internal and external developers
Deploy and manage solutions on cloud platforms following security best practices
Manage projects from start to finish, tracking requirements, progress, budget, and dependencies
Collaborate with stakeholders to gather requirements, report on project status, and upskill client teams

Requirements

Technical

Solid understanding of the AI tooling landscape: knowing when to rely on skills vs. prompt engineering vs. tools vs. model selection
Strong software engineering skills (the old-school way!) — proficient with Python and/or JavaScript
Experience with solution architecture and the ability to design end-to-end AI systems
Hands-on experience with one or more LLM frameworks such as LangChain, LlamaIndex, or Google ADK
Experience building and consuming APIs, with a reasonable understanding of authentication and authorisation (OAuth, API keys, token management)
Understanding of the RAG (Retrieval-Augmented Generation) pattern
Experience with configuring and using MCP servers
Proficiency with AI coding assistants and an ability to leverage them for high-quality, rapid delivery
General security principles applied to codebases and cloud environments
Software engineering background with testing, code quality, and algorithmic thinking
Basic DevOps awareness, enough to containerise, deploy, and monitor your AI solutions in production
Experience deploying and managing applications on at least one major cloud provider (AWS, GCP, or Azure)

General

A genuine AI Enthusiast that can inspire both colleagues and clients to embrace new ways of working
Strong project management skills: prioritisation, effort estimation, requirements gathering, scope and schedule management
Proactive communication style — comfortable reporting progress to clients, raising blockers, and presenting technical concepts to non-technical stakeholders
Curious and proactive about learning new technologies, especially in the rapidly evolving AI space

Nice to Have, but Not Required

Experience with containerisation and orchestration technologies such as Kubernetes
Prior experience working as a technical consultant
Familiarity and experience with GitOps principles and Infrastructure as Code
Experience with Google ADK (Agent Development Kit)
In-depth understanding and experience with authentication and authorisation flows (OAuth, OIDC)
Practical experience implementing RAG (Retrieval-Augmented Generation) solutions

Benefits

What We Offer

Competitive compensation package
Hybrid work arrangements
Opportunity to work with leading technologies (Snowflake, Cloud Platforms, AI Platforms)
Exposure to diverse projects across multiple industries
Professional development and growth opportunities
Collaborative team culture focused on innovation and continuous learning

How to Apply

If you're excited about building AI solutions that solve real business problems and want to be part of a fast-growing consultancy, we'd love to hear from you.

Quick Apply

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software engineer (ai, python, aws) jobs

AI Engineering Consultant

Senior DevOps Engineer

Senior Machine Learning Engineer (Platform / MLOPs)

Senior DevOps Engineer

Senior DevOps Engineer

Senior Engineer/ Tech Lead - Cloud and Analytics platform

Senior Solution Architects / Senior Cloud Engineer

Senior Software Engineer, Site Reliability

Senior Backend Engineer, Spend Team (Cards)

Senior Backend Engineer

Associate Technical Consultant (ATC)

Senior DevOps Engineer - Azure

Lead Site Reliability Engineer

Site Reliability Engineer

Senior Site Reliability Engineer

Harness Consultant

Senior Software Engineer, App Analysis & Modelling

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