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Full Stack AI Agentic Developer

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Full Stack AI Agentic Developer
AI Talent

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Sydney, New south wales, Australia
Classification symbol Information Technology
482
Job posted on April 23, 2026
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Job Description:
As a Full Stack AI Agentic Developer, you will lead the development of autonomous systems that do more than just generate text; they solve complex problems through tool-use and multi-step reasoning; 482 Visa sponsorship is available for the right candidate. You will be responsible for the end-to-end stack, from building robust agentic orchestration layers to creating the frontend interfaces that allow users to oversee and direct autonomous workflows.
📋 Core Responsibilities
  • Agentic Orchestration: Design and implement autonomous agents using frameworks like LangGraph, CrewAI, or AutoGen.
  • Reasoning & Planning: Develop sophisticated prompt chains and "ReAct" patterns to enable agents to plan, reflect, and self-correct.
  • Tool-Use Integration: Build secure backend interfaces (Python/FastAPI) that allow AI agents to interact with external APIs, databases, and legacy systems.
  • Full-Stack Interface: Develop React/Next.js frontends designed for "human-in-the-loop" monitoring and intervention in agentic processes.
  • Evaluation & Debugging: Perform deep analysis of agent traces (using LangSmith or Arize Phoenix) to identify and resolve logic loops or tool-call failures.
  • Platform Security: Implement strict guardrails and sandboxed environments to ensure autonomous agents operate within organisational safety boundaries.


✅ Selection Criteria
  • Engineering Depth: 5+ years of Full Stack experience, with at least 18 months focused on Agentic AI or complex LLM orchestration.
  • Framework Mastery: Expert-level proficiency in Python and modern agentic frameworks (LangGraph preferred).
  • System Design: Strong understanding of event-driven architecture and asynchronous processing (Redis, RabbitMQ).
  • Autonomy Mindset: Proven experience building systems that handle non-deterministic outputs and "self-healing" logic.
  • Cloud Infrastructure: Experience deploying agentic workloads on AWS or Azure using containerised patterns (Docker/Kubernetes).


💻 The Ecosystem
  • Core Languages: Python (FastAPI), TypeScript (React/Next.js).
  • Agentic Stack: LangChain, LangGraph, CrewAI, AutoGen.
  • Intelligence Layer: OpenAI (o1/GPT-4o), Claude 3.5 Sonnet, Llama 3.
  • Data & State: PostgreSQL (pgvector), Pinecone, Redis.


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