AI-Augmented Full Stack LLM-AI Developer

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.

We operate in sprints, not marathons, delivering cutting-edge solutions that transform how businesses operate through AI-augmented automation.

Opportunity to join Expert Ease 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 Dev Ops 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 Saa S 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 Dev Ops 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 Saa S 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
• Dev Ops capabilities - CI/CD, deployment pipelines, infrastructure as code
• Project management proficiency with Jira and agile methodologies
• Technical documentation excellence - Swagger/Open API tools and comprehensive documentation practices
• Generalist mindset - comfortable working across frontend, backend, and Dev Ops
• 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 (Lo RA, QLo RA, 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 Open API/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 Dev Ops 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 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
• 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 Git Hub showcasing real AI projects
• If shortlisted you will get an email about next stage instructions
• #J-18808-Ljbffr