Job Description

Expert Ease 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 Expert Ease 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 Dev Ops 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 Dev Ops 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, modern 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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- Dev Ops 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 Dev Ops

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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 Dev Ops advanced features and enterprise deployment

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- Previous startup or fast-paced workplace 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 Git Hub showcasing real AI projects

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- 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 (Adelaide)
🏢 ExpertEaseAI
📍 Adelaide