Full-Stack Software Developer

7 days ago


Greater Adelaide Area, Australia ExpertEaseAI Full time $104,000 - $130,878 per year

AI-Augmented Full Stack LLM-AI Developer - React, Django; Multi-Tenant SaaS

About ExpertEase AI

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 backed and listed 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.

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 leading AI APIs 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 (min 8/10) - components, hooks, state management, modern frontend
  • Django
    expertise (min 8/10)
  • Python proficiency
    (min 8/10)
    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
  • 3+ years professional experience (not internship & Uni projects) with AI-augmented applications
  • Azure cloud services and infrastructure management (min 2 years)
  • 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)
  • 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

Our Culture - Honest Truth

  • 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

  • Competitive 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

This Role ISN'T For You If:

  • You prefer 100% remote work (we need regular in-person collaboration)
  • You want predictable 9-5 hours with no pressure
  • You're purely focused on maximizing short-term salary
  • You need extensive hand-holding or detailed specifications
  • You're looking for a large company with established processes

Application Requirements

To apply, please include:

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

NO AGENCIES



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