Summary
✨ AI‑Generated
An experienced Full Stack AI Engineer is sought to design and develop end-to-end applications powered by generative AI and large language models. The role involves building RAG solutions and intelligent agents, developing scalable backend services and APIs, creating modern web interfaces, and integrating AI with enterprise data platforms, databases, and cloud infrastructure. Strong experience with Python, modern web frameworks, cloud technologies, and AI engineering is essential.
Highlights
Opportunity to design and build innovative end-to-end AI-powered applications and enterprise solutions. Work across generative AI, cloud platforms, modern web technologies, and enterprise data systems while delivering scalable solutions.
Description
Location- Sydney/Melbourne
We are seeking an experienced Full Stack AI Engineer with strong expertise in Generative AI, Large Language Models (LLMs), cloud technologies, and modern web development.
The successful candidate will be responsible for designing and developing end-to-end AI-powered applications and enterprise solutions, combining AI/ML capabilities with modern frontend and backend technologies.
This role will work across Azure, Python, React, data platforms, and Generative AI technologies to deliver scalable and innovative solutions.
Key Responsibilities
Design and develop end-to-end Generative AI and LLM-powered applications.Build and integrate RAG-based solutions, AI agents, and intelligent enterprise applications.Develop scalable backend services and APIs using Python, FastAPI, Node.js and/or .NET.Build modern user interfaces using React, Angular or Next.js.Integrate AI capabilities with enterprise data platforms, databases and cloud services.Design and implement scalable data and AI architectures.Develop cloud-native solutions across Microsoft Azure, with AWS/GCP exposure advantageous.Implement CI/CD, containerization and MLOps practices.Work with cross-functional teams to translate business requirements into scalable AI solutions.
Required Technical Skills-
AI & ML – Generative AI, LLMs, RAG, LangChain, Semantic Kernel, Prompt Engineering, Machine Learning, Deep LearningFrontend – React, Angular, Next.js, HTML5, CSS3, JavaScript, TypeScriptBackend – Python, FastAPI, Node.js, .NET, REST APIs, GraphQLData & Analytics – SQL, NoSQL, Spark, Databricks, Data EngineeringCloud – Azure, Azure OpenAI, Azure AI Services, AWS, GCPDevOps & MLOps – Docker, Kubernetes, GitHub Actions, Azure DevOps, MLflow, CI/CDDatabases – PostgreSQL, SQL Server, MongoDB, Cosmos DB, Vector Databases (Pinecone, Chroma, FAISS)Architecture – Microservices, Event-Driven Architecture, Enterprise AI Solutions
Ideal Candidate
The ideal candidate will have a strong combination of software engineering and AI expertise, with hands-on experience building and deploying production-grade Generative AI solutions.
Experience working with Azure and enterprise-scale AI applications will be highly regarded.
