ExpertEase AI is a high-velocity startup at the forefront of AI innovation, building a powerful no-code AI agent creation platform that enables organizations to launch multilingual chat and voice agents in seconds. We're supported by Microsoft, Amazon AWS and NVIDIA as a rising technology partner. Our mission is to democratize access to advanced conversational AI and empower business teams to build custom AI agents without writing a single line of code.

We operate in sprints, not marathons, delivering cutting-edge solutions that transform how businesses operate through AI-augmented automation.

Opportunity to join ExpertEase AI;

as an AI-Augmented Full Stack Developer and help build the future of no-code AI platforms. We're expanding our founding engineering team. This is mid-senior role require minimum 3 years professional experience.

Multiple opportunities available across Adelaide office. We need a technical generalist who can seamlessly work across frontend, backend, and DevOps while building AI-augmented solutions for diverse client use cases.

What You'll Build

- Industry-leading AI agents’ multi-lingual text-to-text and Voice-to-Voice capabilities and exceptional response accuracy and quality
- Government grade AI applications meeting enterprise security and compliance standards
- LLM orchestration pipelines using APIs, MCPs and services
- RAG systems with vector databases and document processing
- 3rd party integrations with ZOHO CRM, Salesforce, Microsoft Services, and enterprise platforms
- QA pipelines and comprehensive system testing frameworks
- React-powered interfaces for our no-code AI agent builder
- Multi-tenant SaaS backend with automation building capabilities
- Python-based AI services connecting to frontend applications
- Evaluation pipelines to measure system quality and performance
- Monitoring infrastructure using Langfuse, Datadog, and Grafana-style dashboards
- Prompt engineering frameworks and testing automation
- Real-time dashboards and chatbot widgets used by thousands
- Azure infrastructure and DevOps deployment pipelines




- Custom solutions for diverse client use cases and requirements
- System integrations with messaging platforms and enterprise APIs

What We Need (Non-Negotiable)

- React development expertise - components, hooks, state management, modern frontend
- Python proficiency with AI frameworks and backend development
- RAG Models implementation experience with vector databases and embeddings
- Multi-tenant SaaS automation building - scalable backend architecture
- Evaluation systems expertise - building Evals and pipelines to measure AI quality and performance
- QA pipeline development and comprehensive system testing methodologies
- Monitoring and observability experience with Langfuse, Datadog, Grafana-style systems
- Min. 3+ years qualified experience with AI-augmented applications and Python coding
- Azure cloud services and infrastructure management
- DevOps capabilities - CI/CD, deployment pipelines, infrastructure as code
- Project management proficiency with Jira and agile methodologies
- Technical documentation excellence - Swagger/OpenAPI tools and comprehensive documentation practices
- Generalist mindset - comfortable working across frontend, backend, and DevOps
- LLM API integration experience with prompt engineering and optimization
- Test case creation and automated testing framework development
- Client-focused adaptability - building solutions for diverse use cases
- Problem-solving mindset - you debug complex technical issues independently
- Growth ambition - you want to level up, not just collect a paycheck

Bonus Skills (Highly Valued)

- LLM fine-tuning experience (LoRA, QLoRA, PEFT, RLHF)
- Voice AI development experience TTS-RAG -Tool calling -STT




- Advanced evaluation frameworks for AI model performance and accuracy measurement
- Advanced vector search optimization and embedding techniques
- Enterprise monitoring solutions and alerting system design
- API documentation mastery with OpenAPI/Swagger and automated documentation generation
- Enterprise AI integrations and API orchestration
- System administration knowledge (Redis, DNS, Nginx, infrastructure)
- Workflow automation tools and business process optimization
- MCP Server development and AI model integration protocols
- Document processing pipelines (PDF, Word, unstructured data)
- Azure DevOps advanced features and enterprise deployment
- Previous startup or fast-paced environment experience
- High-velocity sprints - we ship fast and iterate quickly
- Bootcamp intensity during project launches (not 24/7, but intense bursts)
- Learn-as-you-go environment - we'll throw you challenges that stretch your skills
- Minimal bureaucracy - if you need something, we make it happen
- Long-term thinking - we're building careers, not just filling positions
- Professional startup environment - while we seek jack-of-all-trades developers, you'll work in a well-organized structure with clear job allocation and team support
- Skilled team collaboration - work alongside other experienced developers skilled across multiple tech stacks we utilize

What's In It For You

- Base salary (negotiable based on experience)
- Equity package in a high-growth AI startup
- Profit-sharing structure as we grow
- Direct access to founders with 30+ years of business, entrepreneurship and startup experience
- Technical decision-making opportunities and strategic input
- Rapid skill development in AI, cloud infrastructure, and scaling systems

Application Requirements

To apply, please include:

- Cover letter addressing the requirements and why you want to work for us
- Your React and LLM portfolio or GitHub showcasing real AI projects
- If shortlisted you will get an email about next stage instructions

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📌 AI-Augmented Full Stack LLM-AI Developer - React, Django; PostgreSQL (South Australia)
🏢 ExpertEaseAI
📍 South Australia