Full Stack AI Engineer

We are partnering with an enterprise client to accelerate their AI-native product roadmap and scale their core digital platform. We are seeking a talented Full Stack AI Engineer to represent our organisation and take technical ownership of bridging production web applications with sophisticated LLM integrations.

In this role, you aren’t just building interfaces—you are architecting an end-to-end AI ecosystem within our client’s environment. You will be instrumental in taking AI features out of prototype stage and delivering scalable, reliable tools that drive real user value, combining modern JavaScript frontends, performant Python/FastAPI backends, and advanced model orchestration (OpenAI, Claude).

As the employer of record, we provide full visa and migration support for qualified engineering talent deployed to our clients:

• 482 On-Hire Sponsorship Transfers: Fully supported for qualified candidates currently in Australia on an existing 482 visa looking to transfer sponsorship to work with our clients.
• New 482 Visa Sponsorship: Available for qualified candidates meeting the commercial experience and technical requirements.
• Temporary & Working Visa Holders: Open to all working visa holders seeking a direct pathway to employer sponsorship.
  

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• Platform Evolution: Build and evolve the core full-stack platform, ensuring high architectural integrity, maintainability, and horizontal scalability.
• Backend & API Design: Architect robust backend services and microservices using Python (FastAPI) to orchestrate complex business logic, data models, and third-party integrations.
• Frontend Excellence: Develop responsive, intuitive user interfaces using modern JavaScript frameworks (React / Next.js) to make complex AI interactions accessible.
• LLM Integration & Agentic Workflows: Architect advanced workflows with foundation models (OpenAI, Claude), implementing production Retrieval-Augmented Generation (RAG) pipelines and autonomous agentic reasoning frameworks (LangChain / LlamaIndex).
• Data & Storage Tier: Design schemas and optimize data layers using PostgreSQL, Redis, and Databricks.
• Cloud Infrastructure & DevOps: Deploy, containerise, and maintain services across AWS (ECS, Lambda, RDS, S3) and Docker with a strong focus on high availability and cost optimisation.

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• Rapid Prototyping to Production: Rapidly translate concepts into high-fidelity prototypes and systematically harden them into resilient, production-grade features.
• Collaborative Delivery: Partner closely with client product managers and cross-functional teams to define milestones and translate AI capabilities into product impact.

• End-to-End Delivery: Extensive commercial experience across the entire software stack—equally comfortable with database schema design and frontend state management.
• Core Languages & Frameworks: Strong commercial proficiency with Python (FastAPI) on the backend and modern JavaScript / TypeScript (React or Next.js) on the frontend.
• LLM Orchestration: Hands-on experience integrating foundation models (OpenAI, Anthropic Claude) and building RAG pipelines or agentic workflows using LangChain or LlamaIndex.

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• Cloud & Containers: Practical experience managing deployments on AWS (ECS, Lambda, RDS, S3) using Docker and automated CI/CD pipelines.
• Engineering Rigour: Proven track record shipping production software with solid API design principles and distributed systems fundamentals.
• Location Requirements: Currently residing in Australia with valid work rights or eligibility for 482 visa sponsorship/transfer.

• Hands-on experience with vector databases (Pinecone, Weaviate, Qdrant, pgvector).
• Background in telemetry, LLM evaluation, and prompt drift monitoring.
• AWS Certified Solutions Architect or Developer associate credentials.