Full Stack Engineer – AI/GenAI
Summary
Builds AI/GenAI-powered full-stack applications in Python, focusing on LLMs, RAG, and vector databases to create scalable APIs and backend services for semantic search and AI agents.
Eligibility: Candidates must have the right to work in Australia (Citizen, PR, Valid Visa holders).
Key Responsibilities
- Develop scalable full-stack and AI/GenAI applications using Python.
- Build LLM, RAG, AI Agent, semantic search, and vector database solutions.
- Develop APIs and backend services using FastAPI, Flask, or Django.
- Deploy solutions using Azure/AWS/GCP, Docker, Kubernetes, and CI/CD.
- Ensure strong security, scalability, performance, and software architecture practices.
Required Skills
- Strong experience with strong Python
- Hands-on experience with AI/GenAI, LLMs, RAG, Prompt Engineering, AI Agents, Embeddings, and Vector Databases.
- Experience with LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar.
- Strong API/backend development using FastAPI, Flask, or Django.
- Experience with Azure/AWS/GCP, Docker, Kubernetes, GitHub Actions, SQL/NoSQL.
- Understanding of scalable architecture, security, and performance optimisation.