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.
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We operate in sprints, not marathons, delivering cutting-edge solutions that transform how businesses operate through AI-augmented automation.
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Opportunity to join ExpertEase AI;
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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.
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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.
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What You'll Build
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Industry-leading AI agents' multi-lingual text-to-text and Voice-to-Voice capabilities and exceptional response accuracy and quality
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Government grade AI applications meeting enterprise security and compliance standards
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LLM orchestration pipelines using APIs, MCPs and services
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RAG systems with vector databases and document processing
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3rd party integrations with ZOHO CRM, Salesforce, Microsoft Services, and enterprise platforms
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QA pipelines and comprehensive system testing frameworks
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React-powered interfaces for our no-code AI agent builder
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Multi-tenant SaaS backend with automation building capabilities
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Python-based AI services connecting to frontend applications
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Evaluation pipelines to measure system quality and performance
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Monitoring infrastructure using Langfuse, Datadog, and Grafana-style dashboards
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Prompt engineering frameworks and testing automation
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Real-time dashboards and chatbot widgets used by thousands
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Azure infrastructure and DevOps deployment pipelines
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Custom solutions for diverse client use cases and requirements
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System integrations with messaging platforms and enterprise APIs
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What We Need (Non-Negotiable)
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React development expertise - components, hooks, state management, up-to-date frontend
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Python proficiency with AI frameworks and backend development
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RAG Models implementation experience with vector databases and embeddings
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Multi-tenant SaaS automation building - scalable backend architecture
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Evaluation systems expertise - building Evals and pipelines to measure AI quality and performance
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QA pipeline development and comprehensive system testing methodologies
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Monitoring and observability experience with Langfuse, Datadog, Grafana-style systems
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Min. 3+ years professional experience with AI-augmented applications and Python coding
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Azure cloud services and infrastructure management
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DevOps capabilities - CI/CD, deployment pipelines, infrastructure as code
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Project management proficiency with Jira and agile methodologies
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Technical documentation excellence - Swagger/OpenAPI tools and comprehensive documentation practices
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Generalist mindset - comfortable working across frontend, backend, and DevOps
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LLM API integration experience with prompt engineering and optimization
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Test case creation and automated testing framework development
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Client-focused adaptability - building solutions for diverse use cases
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Problem-solving mindset - you debug complex technical issues independently
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Growth ambition - you want to level up, not just collect a paycheck
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Bonus Skills (Highly Valued)
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LLM fine-tuning experience (LoRA, QLoRA, PEFT, RLHF)
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Voice AI development experience TTS-RAG -Tool calling -STT
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Advanced evaluation frameworks for AI model performance and accuracy measurement
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Advanced vector search optimization and embedding techniques
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Enterprise monitoring solutions and alerting system design
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API documentation mastery with OpenAPI/Swagger and automated documentation generation
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Enterprise AI integrations and API orchestration
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System administration knowledge (Redis, DNS, Nginx, infrastructure)
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Workflow automation tools and business process optimization
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MCP Server development and AI model integration protocols
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Document processing pipelines (PDF, Word, unstructured data)
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Azure DevOps advanced features and enterprise deployment
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Previous startup or fast-paced environment experience
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High-velocity sprints - we ship fast and iterate quickly
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Bootcamp intensity during project launches (not 24/7, but intense bursts)
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Learn-as-you-go environment - we'll throw you challenges that stretch your skills
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Minimal bureaucracy - if you need something, we make it happen
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Long-term thinking - we're building careers, not just filling positions
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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
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Skilled team collaboration - work alongside other experienced developers skilled across multiple tech stacks we utilize
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What's In It For You
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Base salary (negotiable based on experience)
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Equity package in a high-growth AI startup
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Profit-sharing structure as we grow
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Direct access to founders with 30+ years of business, entrepreneurship and startup experience
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Technical decision-making opportunities and strategic input
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Rapid skill development in AI, cloud infrastructure, and scaling systems
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Application Requirements
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To apply, please include:
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Cover letter addressing the requirements and why you want to work for us
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Your React and LLM portfolio or GitHub showcasing real AI projects
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If shortlisted you will get an email about next stage instructions
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#J-*****-Ljbffr

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