In-Demand Intelligence engineer Jobs in Carlisle, Wa

AI Engineer – Workforce Intelligence Platform
FBC Asia Pacific —Perth WA
- Full-time
- CRM software
- Master's degree
- Databases
Quick Apply
4d
Artificial Intelligence Engineer
University of Sydney —Darlington WA
- $131,108 - $147,858 a year
- Full-time
- Hybrid work
- Azure
- SQL
- Analysis skills
- Parental leave
7d
Machine Learning Engineer
Micromine —Perth WA
- Full-time
- Hybrid work
- Computer Science
- Master's degree
- Bachelor's degree
- Parental leave
- Employee assistance program
AI Engineer
Fortescue —Perth WA
- Monday to Friday
- Azure
- Computer Science
- Engineering
11d
Technician- Technology
Orica —Welshpool WA
- Full-time
- Schematics
- Assembly
14d
Data Center Critical Facilities Engineer
Equinix —Shenton Park WA
- Full-time
- Engineering
- HVAC
- AI
Mobile developer
GeoMoby —Perth WA
- Computer science
- APIs
AI/ML Computational Scientist
Accenture —Perth WA
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
Senior AI Engineer
Tata Consultancy Services —Perth WA
- Azure
- Computer Science
- Master's degree
Data Center Customer Operations Engineer II
Equinix —Perth WA
- Full-time
- Customer service
- AI
- Employee assistance program
BI and Data Platform Analyst
Northern Star Resources Limited —Subiaco WA
- Full-time
- Customer service
- SQL
- Analysis skills
- Health insurance
- Parental leave
Data Engineer Analyst /Senior Analyst (Fabric, Power BI)
Avanade —Perth WA
- Azure
- DevOps
- SQL
GIS Supervisor - Perth
AECOM —Perth WA
- Full-time
- Hybrid work
- CAD
- AI
13d
Penetration Tester / Security Engineer
Red Piranha —Perth WA
- Management
- Customer service
- Administrative experience
Data & AI Manager
Sia —Perth WA
- Full-time
- Azure
- Computer Science
- DevOps
Quick Apply
Senior Advanced Cyber Security Architect / Engineer (OT)
Honeywell —Perth WA
- Full-time
Senior Hydraulic Engineer
KBR —Perth WA
- 8 hour shift
- Office
- Bachelor's degree
- AI
- Health insurance
- Annual leave
EXPRESSION OF INTEREST – Technical Sales Representatives - Western Australia
Sika —Bibra Lake WA
- Full-time
- Sales
- Construction experience
- AI
Quick Apply
Technical Director - Electrical Engineer (Building Services)
AECOM —Perth WA
- Full-time
- Hybrid work
- Bachelor's degree
- Leadership
- Communication skills
18h
SOC Analyst
BeyondTrust —Perth WA
- On call
- Remote
- Management
- Master's degree
- Scripting
Quick Apply

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AI Engineer – Workforce Intelligence Platform

FBC Asia Pacific -
Perth WA

Quick Apply

Job Details

Full-time
4 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

intelligence engineer jobs in carlisle, wa

AI Engineer – Workforce Intelligence Platform

Artificial Intelligence Engineer

Machine Learning Engineer

AI Engineer

Technician- Technology

Data Center Critical Facilities Engineer

Mobile developer

AI/ML Computational Scientist

Senior AI Engineer

Data Center Customer Operations Engineer II

BI and Data Platform Analyst

Data Engineer Analyst /Senior Analyst (Fabric, Power BI)

GIS Supervisor - Perth

Penetration Tester / Security Engineer

Data & AI Manager

Senior Advanced Cyber Security Architect / Engineer (OT)

Senior Hydraulic Engineer

EXPRESSION OF INTEREST – Technical Sales Representatives - Western Australia

Technical Director - Electrical Engineer (Building Services)

SOC Analyst

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