Enter a job title or keyword
Front End with AI
Job Location:
Monthly Salary:
Posted:
14 August 2026 (6 hours ago)
Posted:
Application Deadline:
11 November 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Location: Sydney NSW
Experience: 712 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 Python AI/ DevSecOps and SRE with hands-on experience delivering production-grade solutions.
Key Responsibilities
- Design and develop scalable applications using Python .
- 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/.
- 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 and .
- 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/.
- 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.
