Junior Full-Stack Developer Internship (React, Python, AI-Augmented Development)

• *Junior Full-Stack Developer Internship (React, Python, AI-Augmented Development)**

📍 Adelaide CBD Office (On-Site) - Open to review interstate applicants.

🕒 18–24 hrs/week | 8–12 weeks

🎓 Eligibility: University students or Professional Year participants only

• *Full-Stack Developer INTERN – AI-Native Builder (Rare Opportunity)**

This is not a typical internship experience.

While many internships focus on observation and gradual exposure, our model is designed to

• *accelerate learning through hands-on contribution within real systems**

.

We are looking for developers who already recognise that:

Modern software development is no longer just about writing code — it is about

• *understanding, orchestrating, and managing AI-augmented development systems**

to build faster and more powerful applications.

This means

• You don’t just code
• You
• *design workflows, guide AI tools, validate outputs, and ship systems**

A strong

• *human-in-the-loop mindset**

is critical:

• You know when to trust AI
• You know when to intervene, validate, and refine
• You take responsibility for the final output
• *About ExpertEase AI**

ExpertEase AI is an Australian AI startup building a

• *no-code AI Workforce platform**

, enabling organisations to deploy digital employees across chat, voice, and operational workflows.

We operate in

• *real production environments**

across enterprise and government.

We are

• Listed on
• *Microsoft Azure Marketplace
• Recognised by
• *AWS Startup Showcase
• Part of the
• *NVIDIA Inception Program**

We build

• *real systems used in real-world operations**

.

• *What You’ll Be Involved In**

During your internship, you will gain hands-on experience contributing to:

• Building and maintaining
• *React-based interfaces
• Working with
• *Python backend services and APIs
• Integrating systems via
• *APIs, webhooks, and workflows
• Supporting
• *LLM-powered features (RAG, automation logic)
• Using
• *AI coding tools and agents**

to assist development

• Working within
• *Dockerised environments
• Understanding
• *end-to-end system architecture
• Participating in debugging, testing, and system improvements
• Writing clear
• *technical documentation**

This is a

• *learning-by-doing environment**

, supported by experienced engineers.

• *Working Environment (Important to Understand)**

We operate in a

• *fast-paced, Scrum-based Agile development environment**

:

• Short sprints and rapid iteration
• Continuous integration and problem-solving
• Real exposure to production workflows

Our style is similar to a

• *bootcamp / hackathon environment**

:

• Focused
• Practical
• Outcome-driven

We work approximately

• *6 hours per day**

, but the experience is:

• High intensity
• High engagement
• High learning density

You will likely gain

• *more practical exposure in this period than in many traditional internships**

.

• *Core Requirements (Non-Negotiable)
• *Technical Skills
• React (functional components, hooks, state management)
• Python (APIs, backend logic, integrations)
• *APIs & Integration
• Comfortable working with REST APIs and webhooks
• *Containers
• Experience running and working with Docker
• *Mindset
• Strong problem-solving approach
• Willingness to explore, test, and debug
• Ability to take initiative in completing tasks
• *Adaptability
• Able to quickly understand new systems and tools
• *AI-Native Development (Critical for This Role)**

We are specifically looking for candidates who have

• *already started experimenting with modern AI development tools**

.

Examples include (but not limited to):

• AI coding agents and assistants
• (e.g.

Claude

Code, GitHub Copilot, GPT-based dev workflows)

• Agent-based or tool-driven development setups
• (e.g. OpenClaw-style execution environments, MCP servers, tool orchestration layers)
• LLM application frameworks
• (e.g. LangChain, RAG pipelines, prompt orchestration)
• Automation systems
• (e.g. n8n or similar workflow engines)

What matters is not the specific tool —

but your ability to:

• Use AI tools to
• *accelerate development
• Understand their
• *limitations and failure modes
• Apply
• *human-in-the-loop control
• Deliver
• *working, reliable outcomes
• *Experience Expectation (Important)**

Due to the level and nature of this internship:

👉 You should ideally have

• *~2 years of prior hands-on experience**

in a real development or project environment where you have:

• Built or contributed to working systems
• Worked with APIs and integrations
• Experienced debugging and delivery cycles

This does not need to be formal employment —

but it should go beyond purely academic projects.

• *Nice to Have
• Exposure to Azure or GCS
• Understanding of system architecture
• Database experience
• Experience with SaaS platforms or dashboards
• *Why This Role Matters

This is a

• *selective and high-impact internship**

.

It may be more demanding than standard internships —

but the outcome is significantly more valuable.

Once you are in

• Your exposure to
• *real-world systems accelerates rapidly
• Your understanding of
• *modern AI-driven development deepens
• Your ability to
• *ship production-ready solutions improves significantly**

For high-performing interns, this becomes a

• *career accelerator**

:

• Strong references
• Real production portfolio
• Potential pathway to
• *paid roles and ongoing opportunities**

This experience has helped others

• *fast-track their careers**

—

and the same pathway is available here.

• *What You Gain
• Hands-on exposure to
• *enterprise AI systems
• Experience with
• *AI-augmented software development
• Understanding of
• *full-stack + system-level thinking
• Practical exposure to
• *modern dev + DevOps workflows
• Mentorship from experienced engineers
• *Eligibility
• Must be a
• *University student**

OR

• *Professional Year Program participant
• Must be able to work
• *on-site in Adelaide CBD
• Availability:
• *18–24 hours/week for 8–12 weeks
• *How to Apply

Submit

• Your
• *CV
• A short
• *cover letter

explaining:

• Your experience with React, Python, APIs, and Docker
• What AI tools you have experimented with (be specific)
• How you use AI to support your development workflow
• Why you are interested in
• *building real systems and learning fast**