Full Stack AI Engineer
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Das ist der Job
You aren't just building interfaces; you are architecting an AI-native ecosystem.
Darum lohnt es sich
Frontend Excellence: Develop seamless frontend experiences using modern JS frameworks to make AI interactions intuitive. The Ecosystem Languages & Frameworks: Python (FastAPI), Modern JS (React/Next.js). Pay: $70,000.00 – $120,000.00 per year Benefits Work from home Application Question(s) Are you currently in Australia?
As a Full Stack AI Engineer , you will be responsible for the end-to-end evolution of our core platform; 482 Visa sponsorship is available for the right candidate.
You will bridge the gap between sophisticated LLM integrations (OpenAI, Claude) and production-grade web applications, ensuring that AI features are not just prototypes, but scalable, reliable tools that drive user value.
Core Responsibilities Platform Evolution: Build and evolve a full‑stack platform, ensuring architectural integrity and scalability. Backend & API Design: Design robust backend services and APIs using Python (FastAPI) to handle complex logic and third‑party integrations.
LLM Integration: Architect and implement advanced workflows with OpenAI and Claude , focusing on RAG pipelines and agentic reasoning. Cloud Infrastructure: Manage and deploy services within AWS , ensuring high availability and cost optimisation .
Rapid Prototyping: Transition quickly from high‑fidelity prototypes to stable, production‑ready features. Collaborative Delivery: Pair closely with Product Managers to define the roadmap and coach non‑technical users on AI capabilities.
Selection Criteria End-to-End Proficiency: Extensive experience across the entire stack, equally comfortable with database schema design and frontend state management. Delivery Track Record: A history of shipping real‑world products to production in fast‑paced environments.
Engineering Rigour: Solid understanding of API design patterns, microservices, and distributed systems. AWS Capabilities: Practical experience with AWS (Lambda, ECS, RDS, S3). AI Enthusiasm: A deep interest in the evolving AI landscape, specifically around LLM orchestration and vector databases.
AI & Intelligence: OpenAI, Claude, LangChain/LlamaIndex. Data Tier: PostgreSQL, Redis, Databricks. Infrastructure: AWS (Full Suite), Docker, Git. Are you looking for visa sponsorship? How many years of experience do you have? Work Location: Hybrid remote in Sydney NSW 2000 #J-18808-Ljbffr
Bereit?
Bewerbung wird direkt an United States Digital Space LLC uebergeben - kein Konto noetig.