In-Demand React developer Jobs in Bexley, Nsw

Forward Deployed Engineer III, Gen AI, Retail
Google —Sydney NSW
- Full-time
- Computer science
- Microsoft Excel
- Doctoral degree
1h
Senior AI Engineer
Karbon —Sydney NSW
- Azure
- Doctoral degree
- Computer Science
- Annual leave
- Parental leave
Quick Apply
Senior Systems Engineer - Service Management
Optus —Macquarie Park NSW
- Management
- Software development
- APIs
- Parental leave
- Employee discount
Technical Lead
CoStar Group —Sydney NSW
- Full-time
- Azure
- Management
- DevOps
AI Engineer Team Lead
FB Rice —Sydney NSW
- Full-time
- Hybrid work
- Azure
- English
- APIs
- Employee assistance program
Senior Solution Designer Deployment & Enablement
Optus —Macquarie Park NSW
- Computer Science
- Agile
- Parental leave
- Employee discount
5d
Sr. Specialist SA Containers, Startup WWSO, AWS
Amazon Web Services Australia Pty Ltd —Sydney NSW
- Full-time
- Management
- Computer Science
- DevOps
18h
Senior Design System Engineer
Heidi —Sydney NSW
- Full-time
- Hybrid work
- AI
- Work from home
- Parental leave
Account Executive (Partner Focused)
OutSystems —Sydney NSW
- Full-time
- Hybrid work
- Sales
- English
- AI
- Annual leave
Engineering Manager
CoStar Group —Sydney NSW
- Full-time
- Azure
- DevOps
- AWS
Platform Engineer
Karbon —Sydney NSW
- On call
- Computer science
- Azure
- Computer Science
- Annual leave
- Parental leave
Quick Apply
Solution Delivery Manager
OutSystems —Sydney NSW
- Full-time
- Hybrid work
- Management
- Computer Science
- English
- Health insurance
- Annual leave
Salesforce Functional Consultant
Tata Consultancy Services —Sydney NSW
- Salesforce
- SQL
- Scripting
Senior Solutions Architect - Logistics and Global Trade Management (2 year Fixed Term Contract)
ResMed —Sydney NSW
- Full-time
- Management
- ERP systems
- Databases
Sr. AI Partner Solution Architect, ANZ Partner Team
Amazon Web Services Australia Pty Ltd —Sydney NSW
- Full-time
- Management
- AWS
- Presentation skills

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Software Engineer
coreflow —Sydney NSW
Ship real-time AI video calls from scratch with <200ms latency within 1 week. Orchestrate hundreds of GPUs to serve millions of image generations per day.
$300,000 - $800,000 a year
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Senior Full Stack Engineer - .Net / React.js
Shift —Sydney NSW
Design, build, and maintain scalable front-end applications in JavaScript/TypeScript (React). Play a key role in architectural decisions, ensuring consistency…

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Forward Deployed Engineer III, Gen AI, Retail

Google -
Sydney NSW

Apply Now

Job Details

Full-time
1 hour 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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react developer jobs in bexley, nsw

Forward Deployed Engineer III, Gen AI, Retail

Senior AI Engineer

Senior Systems Engineer - Service Management

Technical Lead

AI Engineer Team Lead

Senior Solution Designer Deployment & Enablement

Sr. Specialist SA Containers, Startup WWSO, AWS

Senior Design System Engineer

Account Executive (Partner Focused)

Engineering Manager

Platform Engineer

Solution Delivery Manager

Salesforce Functional Consultant

Senior Solutions Architect - Logistics and Global Trade Management (2 year Fixed Term Contract)

Sr. AI Partner Solution Architect, ANZ Partner Team

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