Front End Next.JS with AI

Location: Sydney, NSW

Experience: 7–12 Years

Employment: Permanent / Fixed-Term Contract

Eligibility: Australian PR / Citizens only

Role Overview

We are looking for a Front-End Full Stack Engineer with AI experience to design, develop and deploy modern, scalable web and AI-powered applications. The role requires strong expertise across Next.js, React.js, Python, AI/GenAI, .NET, DevSecOps and SRE, with hands-on experience delivering production-grade solutions.

Key Responsibilities

Design and develop scalable applications using Next.js, React.js, Python and .NET.Build and deploy AI/GenAI applications in production environments.Develop AI solutions using LLMs, Prompt Engineering, RAG, AI Agents, Embeddings and Semantic Search.Implement AI applications using LangChain, LangGraph, LlamaIndex, Semantic Kernel or similar frameworks.Develop robust APIs and backend services using FastAPI, Flask, Django and/or .NET.Build and integrate AI Agents and multi-agent workflows.Design scalable, secure and high-performing application architectures.Work with SQL, NoSQL and vector databases/vector stores.Implement containerisation and deployment using Docker and Kubernetes.Develop and maintain CI/CD pipelines and GitHub Actions.Apply DevSecOps and SRE principles across development and production environments.Work with Azure, AWS or GCP cloud platforms.Leverage Claude and GitHub Copilot and other AI-assisted development practices.Ensure application security, reliability, scalability, observability and performance.

Required Skills

Strong hands-on experience with Next.js and React.js.Strong hands-on Python development experience.Proven experience building and deploying AI/GenAI applications.Strong knowledge of LLMs, RAG, Prompt Engineering, AI Agents, Vector Databases, Embeddings and Semantic Search.Experience with LangChain, LangGraph, LlamaIndex, Semantic Kernel or similar AI frameworks.Strong backend/API development using FastAPI, Flask, Django and/or .NET.Experience with Azure, AWS or GCP.Hands-on experience with Docker, Kubernetes, CI/CD and GitHub Actions.Experience with SQL, NoSQL and vector databases.Strong understanding of software architecture, scalability, security and performance optimisation.Knowledge of DevSecOps and SRE practices.Experience with Claude or similar AI coding assistants.

Highly Desirable

Experience building Agentic AI solutions and multi-agent workflows.Exposure to AI governance, Responsible AI, AI evaluation frameworks and model observability.Experience in banking, financial services, cards, payments, lending or other regulated industries.Experience with GitHub Copilot and AI-assisted software engineering.

Candidate Eligibility

Only Australian PR and Citizens are eligible to apply. Sponsorship is not available.