Expressions of Interest | Full Stack Engineer - Gen AI

📍 Location: Melbourne

💼 Employment Type: Full-time | Contract & Permanent

💰 Salary: Competitive + Benefits

📅 Start Date: ASAP, Staggered starts May / June / July


We are on a mission to redefine the software development lifecycle using cutting-edge AI solutions. This is a unique opportunity to play a key role in a pioneering initiative, integrating GenAI, automation, and cloud engineering to revolutionise the way software is built and tested in the utilities industry.


About the Role

We are seeking a seasoned Full Stack Engineer with expertise in Generative AI and enterprise-scale cloud architecture to join our team! In this role, you will contribute to the development, deployment, and scaling of AI-driven solutions aimed at automating and accelerating the software delivery lifecycle.

Your work will involve integrating LLMs and AI automation frameworks, ensuring compliance with industry regulations, and collaborating with cross-functional teams to design, build, and optimise AI-powered applications.

Key Responsibilities

· Design and implement cloud-native architectures on Azure, AWS, and GCP to support scalable GenAI applications.

· Develop and integrate Generative AI models (LLMs, Transformers, RAG-based solutions) into enterprise software development workflows.

· Automate business requirement validation by leveraging AI to cross-check policies, APIs, and compliance frameworks.

· Embed AI-assisted development tools (e.g., GitHub Copilot, Cursor, Project IDX) into CI/CD pipelines to enhance productivity.

· Ensure AI model compliance with financial regulations and risk policies by implementing AI explainability & security mechanisms (e.g., SHAP, LIME).

· Implement AI-powered test automation, focusing on self-healing test scripts, defect prediction, and compliance validation.

· Optimise cloud-based AI workloads, ensuring models meet performance, scalability, and security benchmarks.

· Adopt a product engineering mindset, translating product objectives into engineering tasks, and mentoring junior engineers.

· Integrate DevSecOps best practices into the AI development lifecycle, including secure API management, role-based access control, and AI adversarial robustness testing.

· Leverage AI for automated documentation and code reviews, improving software development efficiency.

· Collaborate with data scientists, architects, and cloud engineers to align AI initiatives with strategic business goals.


What You Will Bring

· Proven experience in full-stack engineering with expertise in AI-powered software development.

· Strong knowledge of LLM architectures, fine-tuning methodologies, and model evaluation metrics (BLEU, ROUGE, perplexity scores).

· Experience integrating AI-driven solutions into software development pipelines.

· Hands-on experience with one or more: GCP (Vertex AI, Cloud Run, BigQuery), AWS (Bedrock, Lambda, S3), and Azure (OpenAI Services, Functions).

· Deep understanding of cloud-native development, including containerisation (Docker, Kubernetes) and serverless computing.

· AI-powered test automation experience (e.g., generative AI for test case generation, automated regression testing, defect detection).

· Familiarity with AI governance, compliance, and security frameworks in highly regulated environments.

· Experience working with AI-augmented development tools (e.g., Bolt, Cline, AI-powered QA/security tools).

· Ability to mentor and lead teams, fostering a culture of AI innovation and software engineering excellence.

· Consulting experience would be a major plus



What We Offer

· Opportunity to work on a first-of-its-kind AI-powered transformation in the utilities sector.

· Hands-on experience with cutting-edge AI tooling and cloud-based software automation.

· A collaborative and innovative work environment with exposure to top AI researchers, engineers, and enterprise architects.

· Competitive compensation and career growth opportunities within a leading consulting firm.



If you are a results-oriented Full Stack Engineer looking to be part of a pioneering AI-driven transformation project, we encourage you to apply!


If you have questions about this opportunity, please contact Amanda Aing, Talent Acquisition Manager via amanda.aing@davidsonwp.com quoting reference JN -042025-40036.



Want to know more about Davidson? Visit us at www.davidsonwp.com