In-Demand Technical architect/edge infrastructure Jobs in Parramatta, Nsw

Prompt Engineer
Showtime Consulting —Sydney NSW
- Full-time
- Master's degree
- Databases
- Analysis skills
Quick Apply
5h
Cloud Native Customer Engineer
Everpure —Sydney NSW
- Contract
- Azure
- Computer Science
- DevOps
13d
Senior Software Engineer, EOS - Sydney
Arista Networks —Sydney NSW
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
Quick Apply
Cloud Solution Architect (CSA) - Cloud & AI (Global Accounts)
Microsoft —Sydney NSW
- Full-time
- Azure
- Computer Science
- Master's degree
Senior Software Engineer, Site Reliability
Anduril Industries —Sydney NSW
- Full-time
- Azure
- Computer Science
- Software troubleshooting
Quick Apply
Senior VMware Solutions Architect, Specialist Team - Australia & New Zealand
Amazon Web Services Australia Pty Ltd —Sydney NSW
- Full-time
- Administrative experience
- AWS
- Leadership
1d
Director - Presales Enterprise Architect (Data/AI and Applications)
NTT Ltd —Sydney NSW
- Full-time
- Azure
- Computer Science
- Sales
Staff Engineer, Identity & Access Management
Okta —Sydney NSW
- Hybrid work
- Azure
- Management
- AWS
Quick Apply
Director - Presales Enterprise Architect (Data/AI and Applications)
NTT DATA —Sydney NSW
- Full-time
- Azure
- Computer Science
- Sales
AWS Consultant - AWS Connect - CX
Concentrix —Sydney NSW
- Full-time
- DevOps
- SQL
- AWS
Principal Solution Architect - DC & AI Factory
World Wide Technology Holding, LLC —Sydney NSW
- Full-time
- Business development
- Bachelor's degree
- No degree
- Profit sharing
- Wellness program
12d
Principal Network Architect, Backbone Network
Firmus Technologies —Sydney NSW
- Full-time
- Engineering
- Master's degree
- Bachelor's degree
2h
Applied Solutions Architect, Google Cloud
Google —Sydney NSW
- Full-time
- Presentation skills
- Bachelor's degree
- No degree
1h

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Prompt Engineer

Showtime Consulting -
Sydney NSW

Quick Apply

Job Details

Full-time
5 hours ago

Qualifications

CI/CD
Law
RESTful API
Master's degree
Databases
Analysis skills
Version control systems
REST
Natural language processing
APIs
JSON
AI
Communication skills

Full Job Description

Prompt Engineering & Optimisation
LLM Testing & Evaluation
AI, RAG & Agent Solutions

Company Description
Showtime Consulting is a leading provider of Shielded Cloud and Digital Solutions across Australia and New Zealand. We specialise in delivering secure, enterprise-scale technology solutions across cloud, infrastructure, cybersecurity, DevSecOps, software engineering, and digital transformation programs.

We partner with government and enterprise organisations to build high-performing technology teams that deliver secure, resilient, and scalable solutions within complex and highly regulated environments.

The Role
We are seeking an experienced Prompt Engineer with strong expertise in Large Language Models (LLMs), prompt engineering, AI evaluation frameworks, and enterprise AI solution development.

This role will focus on designing, optimising, and governing prompt systems for production-grade AI applications. You will work closely with product teams, software engineers, data scientists, and AI specialists to improve model performance, drive AI quality standards, and deliver reliable, secure, and scalable AI-powered solutions.

Key Responsibilities

Design, develop, and maintain prompt frameworks including system prompts, few-shot examples, role-based prompts, and reasoning workflows.
Build and manage automated evaluation frameworks to measure model performance, accuracy, latency, and regression across releases.
Conduct structured A/B testing across prompt variations, model versions, and configuration settings to optimise AI outcomes.
Translate business requirements and complex edge cases into effective prompts, personas, constraints, and guardrails.
Partner with engineering and product teams to determine when prompt engineering, fine-tuning, RAG architectures, or alternative AI approaches are required.
Develop and maintain a centralised prompt repository including version control, documentation, and performance benchmarks.
Lead red-teaming and adversarial testing exercises to identify jailbreak risks, hallucinations, and model vulnerabilities.
Define evaluation criteria, annotation guidelines, and quality standards for AI-generated outputs.
Drive continuous improvement initiatives through prompt optimisation, benchmarking, experimentation, and model evaluation.
Manage context handling, prompt orchestration, and workflow design for complex AI use cases.
Improve AI response quality through systematic assessment, tuning, testing, and refinement.
Provide guidance and mentorship on prompt engineering best practices and AI evaluation methodologies.
Present prompt strategies, performance insights, benchmark results, and recommendations to technical and business stakeholders.
Support the delivery of enterprise-grade AI applications that are secure, scalable, and production ready.

What You'll Need

Strong hands-on experience with prompt engineering and Large Language Models (LLMs) in production environments.
Experience designing and optimising prompts using techniques such as zero-shot, few-shot, chain-of-thought, and role-based prompting.
Strong programming skills in Python, C#, JavaScript, or another modern programming language.
Experience building AI-powered applications, automation workflows, APIs, or evaluation pipelines.
Knowledge of model evaluation, benchmarking, experimentation, and performance optimisation practices.
Experience with prompt orchestration frameworks and modern AI development toolchains.
Strong understanding of Retrieval-Augmented Generation (RAG), vector databases, and AI agent architectures.
Experience working with REST APIs, JSON, system integrations, and enterprise software development practices.
Familiarity with version control systems, CI/CD pipelines, and cloud platforms.
Understanding of AI safety, responsible AI principles, testing methodologies, and governance frameworks.
Ability to assess and mitigate risks such as hallucinations, prompt injection attacks, and jailbreak vulnerabilities.
4-7 years of experience across AI/ML products, NLP, software engineering, technical writing, or related disciplines.
At least 2 years of direct prompt engineering experience supporting production LLM applications.
Demonstrated experience owning prompt systems end-to-end, from design and implementation through monitoring and optimisation.
Strong analytical thinking, problem-solving, and stakeholder engagement capabilities.
Excellent communication skills with the ability to explain complex AI concepts to technical and non-technical audiences.

Why Join Us?

Work on cutting-edge Generative AI and Large Language Model initiatives.
Influence the design and governance of enterprise AI platforms and solutions.
Collaborate with experienced AI engineers, architects, and product specialists.
Drive innovation through prompt engineering, model optimisation, and AI experimentation.
Help shape responsible, scalable, and secure AI capabilities for enterprise and government clients.
Gain exposure to emerging technologies including RAG, AI agents, vector databases, and advanced LLM architectures.
Join a consulting culture focused on innovation, continuous learning, and technical excellence.

Quick Apply

Refine Your Search

technical architect/edge infrastructure jobs in parramatta, nsw

Prompt Engineer

Cloud Native Customer Engineer

Senior Software Engineer, EOS - Sydney

Cloud Solution Architect (CSA) - Cloud & AI (Global Accounts)

Senior Software Engineer, Site Reliability

Senior VMware Solutions Architect, Specialist Team - Australia & New Zealand

Director - Presales Enterprise Architect (Data/AI and Applications)

Staff Engineer, Identity & Access Management

Director - Presales Enterprise Architect (Data/AI and Applications)

AWS Consultant - AWS Connect - CX

Principal Solution Architect - DC & AI Factory

Principal Network Architect, Backbone Network

Applied Solutions Architect, Google Cloud

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