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Full-stack software developer

Adelaide
ExpertEaseAI
Software Developer
USD 104,000 - USD 130,878 a year
Posted: 14 September
Offer description

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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