Full Stack AI Developer

Experis Australia; City of Melbourne; On-site; AUD 140,000 - 210,000; Full time

Job summary

Experis Australia is seeking a hands-on Full Stack AI Developer to deliver AI-powered experiences in a large enterprise. You will rapidly turn ideas into production, build intuitive front-end experiences, and integrate with enterprise systems and cloud platforms.

You will work across AI agents, RAG workflows, and multi-cloud deployments to drive measurable outcomes, collaborating with stakeholders to translate broad requirements into practical technical solutions.

Qualifications

• Proven experience building Generative AI applications, AI agents or agentic workflows.
• Strong full stack development background with solid front-end capability.
• Advanced Python development skills.
• Strong API design, integration and system interoperability experience.
• Experience with LLMs, Retrieval Augmented Generation (RAG) and agent orchestration frameworks.
• Tool calling and multi-agent solutions; cloud deployment experience.
• Understanding of SDLC and ability to work independently in fast-paced environments.

Responsibilities

• Design, build and deploy AI agents and AI-powered applications.
• Rapidly develop proof-of-concepts and evolve them into production-ready solutions.
• Create modern front-end experiences that make AI capabilities accessible and intuitive.
• Integrate AI solutions with enterprise platforms, APIs and business systems.
• Build RAG-enabled applications using structured and unstructured data sources.
• Implement testing, observability, governance and human-in-the-loop controls.
• Deploy and manage workloads across cloud environments.
• Partner with business stakeholders to translate requirements into technical solutions.

Skills

Generative AI apps

AI agents/agentic workflows

Full stack development

Front-end development

Python development

APIs & integration

LLMs

RAG

Agent frameworks

Tool calling

Cloud deployment

SDLC best practices

Independent work

Tools

AWS Bedrock

Gemini Enterprise

Vector databases

Google Cloud

Job description

We're seeking a hands-on Full Stack AI Developer to help shape and deliver the next generation of AI-powered experiences within a large, complex enterprise environment.

This is not a traditional data engineering role. We're looking for someone who can rapidly take ideas from concept to production, building practical AI solutions that solve real business problems. You'll work across the full stack, developing intuitive front-end experiences, integrating enterprise systems, and delivering production-ready AI agents and agentic workflows.

You'll be joining a team focused on moving beyond experimentation to deliver measurable outcomes through modern AI technologies, agent frameworks, cloud platforms and enterprise integrations.

What You'll Be Doing

• Design, build and deploy AI agents and AI-powered applications
• Rapidly develop proof-of-concepts and evolve them into production-ready solutions
• Create modern front-end experiences that make AI capabilities accessible and intuitive
• Integrate AI solutions with enterprise platforms, APIs and business systems
• Build RAG-enabled applications leveraging structured and unstructured data sources
• Implement testing, observability, monitoring, governance and human-in-the-loop controls
• Deploy and manage workloads across cloud environments
• Partner closely with business stakeholders to translate broad requirements into practical technical solutions

What We're Looking For

• Proven experience building Generative AI applications, AI agents or agentic workflows
• Strong full stack development background with solid front-end capability
• Advanced Python development skills
• Strong API design, integration and system interoperability experience
• Experience with:
• LLMs
• Retrieval Augmented Generation (RAG)
• Agent orchestration frameworks
• Tool calling and multi-agent solutions
• Experience deploying and operating applications in cloud environments
• Strong understanding of software engineering best practices across the SDLC
• Ability to work independently in fast-paced, evolving environments

Ideal Experience

• Building AI solutions that integrate with enterprise platforms and business applications
• Developing and deploying solutions on AWS and/or Google Cloud
• Experience with AWS Bedrock, Gemini Enterprise, vector databases and modern AI platforms
• Experience working across multiple languages, frameworks and technologies as required by the solution
• Exposure to agent development frameworks such as Google's ADK or similar

The Type of Problems You'll Solve

This role is focused on practical business outcomes, including:

• AI assistants that automate complex business processes
• Enterprise-integrated AI workflows spanning multiple systems
• Knowledge assistants grounded in organisational data
• AI-powered content generation and management solutions
• Multi-agent solutions that perform tasks, make recommendations and orchestrate business workflows
  

Courtney Smith
Senior Consultant
[e-mail]

ManpowerGroup is committed to being a Diversity Confident Recruiter and encourages applications from people from a diverse range of backgrounds, including people with a disability. Please indicate your preferred method of communication in your resume and please let us know if you require any reasonable adjustments should you be contacted for an interview.

Aboriginal and Torres Strait Islander people are encouraged to apply.

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Experis Pty Ltd is a wholly owned subsidiary of ManpowerGroup

State: QLD, licensee/s Manpower Services (Australia) Pty Ltd, LHL-02026-D5L4Q. State: QLD, licensee/s Experis Pty Ltd, LHL-02014-Y5F6D. State: SA, licensee/s Manpower Services (Australia) Pty Ltd, LHS 288856