Full Stack LLM Engineer in Melbourne

Full Stack LLM Engineer in Melbourne

Melbourne Full-Time 80000 - 85000 $ / year (est.) On-site
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At a Glance

  • Tasks: Design and develop AI-powered applications using Large Language Models and modern tech.
  • Company: Join Accenture, a global leader in professional services and innovation.
  • Benefits: Competitive salary, health benefits, and progressive leave options.
  • Other info: Dynamic environment with opportunities for continuous learning and career growth.
  • Why this job: Shape the future of AI while working with cutting-edge technologies.
  • Qualifications: Proficiency in Python and experience with AI technologies required.

The predicted salary is between 80000 - 85000 $ per year.

About Accenture

Accenture is a leading global professional services company with advanced capabilities in digital, cloud, and security.

Combining unmatched experience and specialized skills across more than 40 industries, we help clients innovate and transform the way they work and grow.

Find out more at www. accenture. com.

THE WORK

Join a team that is shaping the future of AI-powered applications.

As a Full Stack LLM Engineer, you will design, develop, and deploy innovative solutions using Large Language Models (LLMs), AI agents, and modern full-stack technologies.

You'll work independently while collaborating with cross-functional teams to solve complex business challenges, contribute to AI-driven products, and deliver scalable, secure, and high-performing applications.

This is an exciting opportunity to deepen your expertise in Python, Generative AI, and full-stack development while working with emerging technologies in a dynamic environment.

Key Responsibilities

  • Design, develop, and deploy AI-powered applications leveraging Large Language Models (LLMs), Generative AI, and AI agents.
  • Build and maintain end-to-end full-stack solutions using modern front-end and back-end technologies.
  • Develop and integrate AI agent workflows and orchestration frameworks into business applications.
  • Collaborate with product, engineering, and business stakeholders to translate requirements into scalable technical solutions.
  • Integrate APIs, AI models, and data services to create intelligent user experiences.
  • Optimize application performance, scalability, reliability, and observability across the technology stack.
  • Implement security, governance, and responsible AI practices throughout the development lifecycle.
  • Evaluate emerging AI tools, frameworks, and technologies to drive innovation and continuous improvement.
  • Contribute to architecture discussions, technical design decisions, and engineering best practices.
  • HERE'S WHAT YOU'LL NEED
  • Proficiency in Python.
  • Experience with AI Agents and Workflow Integration.
  • Experience developing and deploying applications using Large Language Models (LLMs) and Generative AI technologies.
  • Knowledge of full-stack development principles and modern web application architectures.
  • Experience with API development, integration, and cloud-based applications.
  • Minimum 3 years of relevant professional experience.
  • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.
  • BONUS POINTS IF YOU HAVE
  • Experience with Node. js and modern front-end frameworks such as React, Angular, or Vue.
  • Hands-on experience building AI-powered products or enterprise applications.
  • Experience in Digital Full Stack Development.
  • Knowledge of AI orchestration frameworks and agentic workflows.
  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
  • Experience with MLOps, LLMOps, prompt engineering, or model evaluation frameworks.
  • Exposure to AI architecture, governance, and model deployment strategies.
  • Experience working with vector databases, RAG (Retrieval-Augmented Generation), or model serving frameworks.

Qualifications

  • Strong problem-solving and analytical skills.
  • Excellent communication and stakeholder management abilities.
  • Ability to work independently while contributing effectively within a collaborative team environment.
  • Passion for emerging technologies and continuous learning.
  • Salary Range: AUD $80,000 - $85,000 (exclusive of superannuation)
  • Accenture Progressive Employee Benefits

To view our Progressive Employee Benefits covering Health, Wellbeing, Progressive Leave Options, Sustainability click on the link below.

Progressive Employee Benefits – Australia

Equal Employment Opportunity Statementfor Australia and New Zealand

At Accenture, our intention is to foster a culture and a workplace in which all of our people feel a sense of belonging and are respected and empowered to do their best work.

We encourage applications from all people with the relevant skillset, and we are committed to removing barriers to the recruitment process and employee lifecycle.

All employment decisions shall be made without regard to age, disability status, ethnicity, gender, gender identity or expression, religion or sexual orientation and we do not tolerate discrimination.

If you require any accommodations or adjustments for interviews and/or at work, please reach out to exectalent@accenture. com or contact us at +61 2 9005 5000 (Australia) or+64 44666056 (New Zealand).

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Full Stack LLM Engineer in Melbourne employer: Accenture PLC

At Partners in Performance, part of Accenture, we pride ourselves on being an exceptional employer that fosters a dynamic and collaborative work culture. Our focus on human performance means you will have the opportunity to work closely with clients, driving meaningful change and delivering tangible results rather than just reports. With a commitment to employee growth through mentorship and diverse experiences, our ANZ office offers a unique environment where your insights can lead to impactful outcomes for some of the world's largest companies.

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Contact Details:

Accenture PLC Recruitment Team

We think you need these skills to ace Full Stack LLM Engineer in Melbourne

Python
Large Language Models (LLMs)
Generative AI
AI Agents
Full-Stack Development
API Development
Cloud-Based Applications