In-Demand Cloud engineer Jobs in Darlington, Wa

AI Engineer – Workforce Intelligence Platform
FBC Asia Pacific —Perth WA
- Full-time
- CRM software
- Master's degree
- Databases
Quick Apply
3d
SIEM Engineer – Splunk & Splunk Cloud
DXC Technology —Perth WA
- Full-time
- Azure
- AWS
- APIs
Azure Cloud Infrastructure Engineer
NTT —Perth WA
- Contract
- Azure
- DevOps
- Databases
Quick Apply
DevOps Engineer
APM Group —West Perth WA
- Full-time
- Hybrid work
- Azure
- DevOps
- Communication skills
Quick Apply
Systems and Storage Engineer
Denver —West Leederville WA
- $135,000 a year
- Full-time
- Azure
- Administrative experience
- No degree
Quick Apply
Software Engineer
Royal Automobile Club of WA —West Perth WA
- Full-time
- Azure
- Gym membership
12d
Platform Engineer - SKA-Low Telescope
CSIRO —Perth WA
- $100,000 - $113,000 a year
- Part-time
- No degree
- Scripting
Lvl 2 Systems Engineer
Troppus IT & Management —Kewdale WA
- Urgently hiring
- Management
- Organisational skills
- Communication skills
Level 2 Support Engineer - Projects Focused
Office Information Australia (OIA) —Perth WA
- Azure
- Administrative experience
- AWS
Systems Engineer
Amazon Support Services Pty Ltd —Perth WA
- Full-time
- AWS
- No degree
- Scripting
- Health insurance
- Employee assistance program
5d
Full Stack Developer
Duxxel Pty Ltd —Perth WA
- From $120,000 a year
- Contract
- Hybrid work
- Azure
- APIs
- Communication skills
Quick Apply
Level 2 Engineer (ICT Support Officer)
Integrated ICT —Perth WA
- $75,000 - $85,000 a year
- Full-time
- Azure
Quick Apply
Software Engineer (Back-end and Full-stack)
CorePlan —Perth WA
- Full-time
- Databases
- AWS
- APIs
- Parental leave
- Employee assistance program
Planning Engineer (Early career)
Castle Controls —Perth WA
- $83,012.28 - $110,000.00 a year
- Full-time
- Microsoft Excel
- Management
- Engineering
Quick Apply
Senior Azure Cloud & Infrastructure Engineer
Fleetcare —Perth WA
- Full-time
- Azure
- Financial services
- Employee assistance program
13d
Data Engineer
Horizon Power —Bentley WA
- Full-time
- SQL
- Analysis skills
- AI
6d
Staff Software Engineer - Java
Bankwest —Perth WA
- Full-time
- AWS
AI Engineer
Fortescue —Perth WA
- Monday to Friday
- Azure
- Computer Science
- Engineering
10d
Artificial Intelligence Engineer
University of Sydney —Darlington WA
- $131,108 - $147,858 a year
- Full-time
- Hybrid work
- Azure
- SQL
- Analysis skills
- Parental leave
6d
Associate DevOps Engineer
Seven West Media —Perth WA
- Full-time
- Hybrid work
- Computer Science
- DevOps
- Engineering
- Parental leave
13d

I want to receive the latest job alert for cloud engineer in darlington, wa

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

cloud engineer jobs near darlington, wa

AI Engineer – Workforce Intelligence Platform

FBC Asia Pacific -
Perth WA

Quick Apply

Job Details

Full-time
3 days ago

Qualifications

CRM software
Data modelling
Law
Moving
ATS
Master's degree
Databases
AWS
Natural language processing
Recruiting
Data pipeline
APIs
AI

Full Job Description

AI Engineer – Workforce Intelligence Platform

Job Type: Full-time
Location: Perth, WA / Remote within Australia

About the Role

We’re building an AI-powered workforce intelligence platform for the energy, resources, and infrastructure sectors.

The platform combines proprietary recruitment data, a domain-specific knowledge graph, and LLM-powered workflows to help companies identify, assess, and secure critical talent faster.

We’re looking for an AI Engineer to help turn this technology into a production-ready product by building the systems that power candidate matching, ranking, and decision support.

This is a hands-on product engineering role, not a research position.

What You’ll Do:

1. Build the Talent Intelligence Engine

Develop candidate-to-role matching and ranking systems
Combine structured data such as roles and tenure with unstructured data including CVs and candidate profiles
Apply domain-specific logic such as project scale, commodity exposure, and Tier 1 vs. Tier 2 experience

2. Develop LLM-Powered Features

Build explainability layers to show why a candidate is a strong fit for a role
Generate candidate summaries, comparisons, and shortlists
Create AI-assisted workflows for search, screening, and outreach
Implement Retrieval-Augmented Generation (RAG) over internal datasets

3. Integrate AI into Real-World Workflows

Embed AI capabilities into ATS platforms such as JobAdder and Workable
Ensure AI outputs are practical and usable by recruiters and hiring managers
Focus on speed, usability, and real-world adoption

4. Build Data Pipelines & Intelligence Layers

Ingest and structure CVs, job advertisements, and candidate data
Link entities such as companies, roles, and projects into a unified data model
Work with knowledge graphs to improve matching accuracy

5. Ship Production-Ready Systems

Optimise performance, latency, and LLM usage costs
Build scalable and reliable services rather than prototypes
Continuously improve models using hiring outcomes and user feedback

What We’re Looking For:

Core Experience

3–7+ years of experience in software engineering, ML engineering, or applied AI
Experience building and deploying production AI systems
Strong Python skills and experience with modern AI frameworks
Hands-on experience working with LLMs such as OpenAI, Amazon Bedrock, or similar platforms

Technical Capability

Experience with:
NLP and information extraction from unstructured data
Search and ranking systems
RAG pipelines and vector databases
Solid understanding of:
Data pipelines and ETL
APIs and backend systems
Cloud infrastructure, preferably AWS

Mindset

Product-focused – cares about outcomes, not just models
Pragmatic – able to ship quickly and iterate
Commercially aware – understands what better hiring outcomes mean
Adaptable – comfortable working in a fast-moving, build-first environment

Nice to Have:

Experience in recruitment, HR technology, or marketplace platforms
Exposure to knowledge graphs or entity resolution
Experience integrating with ATS or CRM systems
Familiarity with the energy, mining, or infrastructure sectors

What Success Looks Like in Your First 3–6 Months:

Deliver a working candidate ranking and matching model
Build an AI explanation layer for shortlist decisions
Embed AI into a search → shortlist workflow
Improve the speed and quality of candidate identification

Why Join?

Build a category-defining AI product for the energy and resources industry
Work directly with leadership on product development and strategy
Own and shape core AI technology
Move quickly, ship real features, and see direct commercial impact

Application Question(s):

How many years of experience do you have in software engineering, ML engineering, or applied AI?
Do you have hands-on experience building and deploying production AI systems?
Do you have experience working with LLMs, RAG pipelines, and vector databases?
What is your expected annual salary (AUD)?
What is your availability to start?

Work Location: In person

Quick Apply

Refine Your Search

cloud engineer jobs in darlington, wa

AI Engineer – Workforce Intelligence Platform

SIEM Engineer – Splunk & Splunk Cloud

Azure Cloud Infrastructure Engineer

DevOps Engineer

Systems and Storage Engineer

Software Engineer

Platform Engineer - SKA-Low Telescope

Lvl 2 Systems Engineer

Level 2 Support Engineer - Projects Focused

Systems Engineer

Full Stack Developer

Level 2 Engineer (ICT Support Officer)

Software Engineer (Back-end and Full-stack)

Planning Engineer (Early career)

Senior Azure Cloud & Infrastructure Engineer

Data Engineer

Staff Software Engineer - Java

AI Engineer

Artificial Intelligence Engineer

Associate DevOps Engineer

I want to receive the latest job alert for cloud engineer in darlington, wa

Related Searches

Explore jobs in more locations

Job Seeker Tools

Employer Tools

Browse

Stay Connected