AI Software Engineer

Peoplebank

Brisbane

Hybrid

AUD 120,000 - 180,000

Part time

43 hours ago
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Job summary

Peoplebank in Brisbane is seeking an AI Software Engineer (Contract) to lead the full lifecycle of AI-driven solutions. You will design, prototype, and deploy agentic AI systems, integrating them with enterprise platforms and cloud-native services.

You will work with LangGraph, LLMs, and modern AI frameworks to build scalable, secure workflows, APIs, and web interfaces, ensuring production-grade quality and measurable business outcomes.

Qualifications

  • 3+ years of software engineering experience.
  • Strong Python development skills including APIs, testing, OOP, asynchronous programming, and exception handling.
  • Experience building applications leveraging Large Language Models (LLMs).
  • Hands-on experience with Agentic AI frameworks such as LangGraph, Microsoft Agent Framework, Google ADK, Anthropic Agents SDK, AutoGen, CrewAI, or similar.
  • Understanding of MCP (Model Context Protocol) and AI tool integrations.
  • Experience with relational and/or NoSQL databases.
  • Cloud deployment experience within Azure and/or GCP environments.
  • Exposure to Infrastructure as Code using Terraform or similar tools.
  • Front-end experience with React, Next.js, Angular, or equivalent frameworks.
  • Strong understanding of software architecture, automated testing, and Git-based development workflows.

Responsibilities

  • Agentic AI Development: design and build AI agents using modern frameworks.
  • Develop Retrieval Augmented Generation (RAG) solutions and multi-agent workflows.
  • Build and integrate MCP (Model Context Protocol) servers and clients.
  • Implement Agent2Agent (A2A) interoperability patterns.
  • Develop agent capabilities including tool usage, orchestration, memory management, and structured outputs.
  • Implement security controls, guardrails, auditing, observability, and human-in-the-loop workflows.
  • Evaluate and improve agent performance through testing, monitoring and optimisation.
  • Software Engineering: develop production-quality applications primarily using Python.
  • Design and build APIs and backend services supporting AI solutions.
  • Develop modern web applications using React, Next.js, Angular, or similar technologies.
  • Apply software engineering best practices including testing, CI/CD, and design patterns.
  • Cloud & DevOps: deploy, monitor, and support solutions across Azure and/or Google Cloud Platform.
  • Build infrastructure using Terraform, implement automated deployment pipelines and DevSecOps.

Skills

Python development
APIs
LLMs
Agentic AI frameworks

Tools

LangGraph
Microsoft Agent Framework
Google ADK
Anthropic Agents SDK
AutoGen
CrewAI

Job description

AI Software Engineer (Contract) | Brisbane | Flexible Working Arrangements | Cutting-Edge AI Projects | Mining

This is an opportunity to work at the forefront of Generative AI, building sophisticated AI agents, integrating them with enterprise systems, and productionising solutions using modern cloud platforms and engineering practices.

About the Role

As an AI Software Engineer, you'll take ownership of the full solution lifecycle, from concept and rapid prototyping through to production deployment and ongoing optimisation.
You'll work with modern Agentic AI frameworks, Large Language Models, cloud-native technologies, and enterprise integrations to build intelligent systems capable of automating complex workflows and delivering measurable business outcomes.

Key Responsibilities

Agentic AI Development

  • Design and build AI agents using modern frameworks such as LangGraph, Microsoft Agent Framework, Google ADK, Anthropic Agents SDK, or similar.
  • Develop Retrieval Augmented Generation (RAG) solutions and multi-agent workflows.
  • Build and integrate MCP (Model Context Protocol) servers and clients.
  • Implement agent interoperability patterns including Agent2Agent (A2A).
  • Develop agent capabilities including tool usage, workflow orchestration, memory management, and structured outputs.
  • Implement security controls, guardrails, auditing, observability, and human-in-the-loop workflows.
  • Evaluate and improve agent performance through testing, monitoring, and continuous optimisation.

Software Engineering

  • Develop production-quality applications primarily using Python.
  • Design and build APIs and backend services supporting AI solutions.
  • Develop modern web applications using React, Next.js, Angular, or similar technologies.
  • Apply software engineering best practices including testing, code reviews, CI/CD, and design patterns.

Cloud & DevOps

  • Deploy, monitor, and support solutions across Azure and/or Google Cloud Platform.
  • Build infrastructure using Infrastructure as Code, preferably Terraform.
  • Implement automated deployment pipelines and DevSecOps practices.
  • Configure security, identity, networking, monitoring, logging, and secrets management.
Essential Skills & Experience
  • 3+ years' experience in software engineering or application development.
  • Strong Python development skills including APIs, testing, OOP, asynchronous programming, and exception handling.
  • Experience building applications leveraging Large Language Models (LLMs).
  • Hands-on experience with Agentic AI frameworks such as LangGraph, Microsoft Agent Framework, Google ADK, Anthropic Agents SDK, AutoGen, CrewAI, or similar.
  • Understanding of MCP (Model Context Protocol) and AI tool integrations.
  • Experience working with relational and/or NoSQL databases.
  • Cloud deployment experience within Azure and/or GCP environments.
  • Exposure to Infrastructure as Code using Terraform or similar tools.
  • Front-end experience with React, Next.js, Angular, or equivalent frameworks.
  • Strong understanding of software architecture, automated testing, and Git-based development workflows.
Highly Regarded
  • Experience developing enterprise AI assistants or workflow automation platforms.
  • Multi-agent system design experience.
  • Experience deploying GenAI solutions into highly regulated or enterprise environments.
  • Knowledge of AI observability, evaluation frameworks, and governance practices.

Peoplebank and Leaders IT are committed to creating a diverse and inclusive workplace where everyone belongs. We welcome applications from people of all backgrounds, identities, and experiences. If you need adjustments to the recruitment process due to your circumstances, please let us know—we’re here to support you.

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