In-Demand Python developer Jobs in Moorebank, Nsw

Forward Deployed Engineer III, Gen AI, Retail
Google —Sydney NSW
- Full-time
- Computer science
- Microsoft Excel
- Doctoral degree
9d
Data Scientist
Woolworths Group —Surry Hills NSW
- Full-time
- Computer Science
- Engineering
- Data analysis skills
Customer Engineer AI, Financial Services, Google Cloud
Google —Sydney NSW
- Full-time
- SQL
- Presentation skills
- Bachelor's degree
Applied Solutions Architect, Google Cloud
Google —Sydney NSW
- Full-time
- Presentation skills
- Bachelor's degree
- No degree
13d
AI Engineer / Data Scientist (Agentic AI) | Manager/Senior Manager
PWC Australia —Sydney NSW
- Azure
- Research
- Master's degree
- Parental leave
AWS Cloud Engineer
Accenture —Sydney NSW
- Full-time
- Computer Science
- AWS
- Education
Enterprise Architect, Professional Services, Google Cloud
Google —Sydney NSW
- Full-time
- Hybrid work
- Computer Science
- Bachelor's degree
- No degree
9d
Delivery Consultant, AWS Professional Services
Amazon Web Services Australia Pty Ltd —Sydney NSW
- Full-time
- DevOps
- Master's degree
- AWS
Applied Solutions Architect
Google —Sydney NSW
- Full-time
- Presentation skills
- Bachelor's degree
- No degree
9h
Cloud DevOps Engineer
CSIRO —Sydney NSW
- $118,000 - $127,000 a year
- Part-time
- DevOps
- No degree
14d
Senior/Principal Machine Learning Engineer - Aus
Harrison.ai —Sydney NSW
- Full-time
- Remote
- Doctoral degree
- Research
- AWS
DevOps Lead
EzyCollect —Sydney NSW
- $97,000 - $178,000 a year
- Full-time
- Azure
- Computer Science
- AWS
- Work from home
- Parental leave
Quick Apply
Database Administrator
AI Talent —Barangaroo NSW
- $70,000 - $120,000 a year
- 8 hour shift
- Hybrid work
- Azure
- Oracle
- Computer Science
- Work from home
Quick Apply
5d
Engineering Manager, Developer Experience
Cover Genius —Sydney NSW
- Full-time
- Hybrid work
- DevOps
- Scripting
- Organisational skills
- Work from home
Senior AI Engineer
Karbon —Sydney NSW
- Azure
- Doctoral degree
- Computer Science
- Annual leave
- Parental leave
Quick Apply
Market Analyst
Modo Energy —Sydney NSW
- Monday to Friday
- Sales
- Writing skills
- Data analysis skills
13d
Senior Salesforce Developer
NGS Super —Sydney NSW
- Full-time
- CRM software
- Computer Science
- Sales
Quick Apply
1d
Sailpoint IIQ Developer
Tata Consultancy Services —Sydney NSW
- Management
- SQL
- Scripting
AI Deployment Engineer
OpenAI —Sydney NSW
- Full-time
- Hybrid work
- No degree
- AI
- Communication skills
Software Engineer â€“ Engineering Enablement (AI, Quality & Platform Reliability)
The Argyle Network —Sydney NSW
- $850,950 a year
- Full-time
- AI

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Forward Deployed Engineer III, Gen AI, Retail

Google -
Sydney NSW

Apply Now

Job Details

Full-time
9 days ago

Qualifications

Computer science
Microsoft Excel
Law
Doctoral degree
Computer Science
MCP
Engineering
Google Cloud Platform
Master's degree
Bachelor's degree
Software development
APIs
Security
AI

Full Job Description

At Google, we have a vision of empowerment and equitable opportunity for all Aboriginal and Torres Strait Islander peoples and commit to building reconciliation through Google’s technology, platforms and people and we welcome Indigenous applicants. Please see our Reconciliation Action Plan for more information.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sydney NSW, Australia; Melbourne VIC, Australia.

Minimum qualifications:

Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
5 years of experience with software development using Python or similar coding languages.
Experience in developing Agentic AI solution in the Retail industry (e.g., Groceries, FMCG, or other Retail services).
Experience taking production-grade AI-driven solutions from conception to launch and architecting AI systems on cloud platforms (e.g., GCP).
Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.

Preferred qualifications:

Master’s degree or PhD in AI, Computer Science, or a related technical field.
Experience managing technical discovery sessions.
Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).
Knowledge of "LLM-native" metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.

About the job

As a Generative Artificial Intelligence (GenAI) Forward Deployed Engineer (FDE) at Google Cloud, you are an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you will function as an "innovator-builder," moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment.

This role is designed for high-agency engineers with a founder’s mindset. You will address blockers to production including solving the integration complexities, data readiness issues, and state-management issues that prevent AI from reaching enterprise-grade maturity. By embedding with accounts, you will serve a dual purpose: providing "white glove" deployment of AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap.

It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours.

Responsibilities

Serve as a developer for AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, Model Context Protocol [MCP] servers) that drive measurable Return on Investment (ROI).
Architect and code the "connective tissue" between Google’s AI products and customer's live infrastructure, including Application Programming Interfaces (APIs), legacy data silos, and security perimeters as part of an expert team.
Build evaluation pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety, and latency.
Identify repeatable field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.
Co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Apply Now

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python developer jobs in moorebank, nsw

Forward Deployed Engineer III, Gen AI, Retail

Data Scientist

Customer Engineer AI, Financial Services, Google Cloud

Applied Solutions Architect, Google Cloud

AI Engineer / Data Scientist (Agentic AI) | Manager/Senior Manager

AWS Cloud Engineer

Enterprise Architect, Professional Services, Google Cloud

Delivery Consultant, AWS Professional Services

Applied Solutions Architect

Cloud DevOps Engineer

Senior/Principal Machine Learning Engineer - Aus

DevOps Lead

Database Administrator

Engineering Manager, Developer Experience

Senior AI Engineer

Market Analyst

Senior Salesforce Developer

Sailpoint IIQ Developer

AI Deployment Engineer

Software Engineer â€“ Engineering Enablement (AI, Quality & Platform Reliability)

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