Job Description
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 professional 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 explicit 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
#J-*****-Ljbffr

📌 Ai-Augmented Full Stack Llm-Ai Developer - React, Django; Postgresql (South Australia)
🏢 ExpertEaseAI
📍 South Australia