Full Stack Engineer

Umbrella Club; Sydney; On-site; AUD 150,000 - 210,000; Full time

Job summary

Umbrella Club in Sydney is seeking an experienced AI & Intelligent Document Processing Engineer to design, develop, and deploy production-grade LLM, Generative AI, and IDP solutions within a regulated enterprise environment.

The role combines AI/LLM expertise with full-stack software engineering, AWS cloud, and DevSecOps to deliver measurable business outcomes. You will mentor teams and contribute to architectural standards.

Qualifications

• Hands-on experience with OpenAI, Claude, Gemini, Llama, or equivalent LLMs.
• Strong experience in Prompt Engineering, Retrieval Augmented Generation (RAG), AI Agents, and agentic workflows.
• Experience integrating LLMs into enterprise applications and business workflows.
• Understanding of AI security, privacy, explainability, fairness, governance, and Responsible AI.
• Experience with document classification, data extraction, OCR technologies, and document workflow automation.
• Experience processing structured, semi-structured, and unstructured documents.

Responsibilities

• Design, build, and deploy production-grade AI and LLM solutions.
• Develop RAG architectures, AI agents, agentic workflows, and LLM-powered applications.
• Implement prompt engineering, model evaluation, orchestration, and optimisation.
• Develop document classification, extraction, validation, verification, redaction, and workflow automation capabilities.
• Integrate OCR, document intelligence, and AI technologies into enterprise applications and customer journeys.
• Build reusable AI and document intelligence services across business domains.
• Develop modern web applications using ReactJS and backend services using Python, Java, Go, or .NET.
• Design scalable APIs, microservices, and event-driven architectures.
• Build and operate cloud-native solutions on AWS.
• Develop containerised applications using Docker and implement CI/CD pipelines.
• Improve system observability, reliability, security, and operational resilience.
• Apply DevSecOps and responsible AI practices throughout the software development lifecycle.
• Mentor and support engineering teams while contributing to technical architecture and engineering standards.

Skills

OpenAI/LLMs

Prompt Engineering

RAG

AI Agents

Agentic Workflows

AI Evaluation

OCR & Document Intelligence

Python

Java

Go

Docker

CI/CD

AWS

Regulated environments

Tools

Docker

AWS

Job description

We are seeking an experienced AI & Intelligent Document Processing Engineer to design, develop, and deploy production-grade LLM, Generative AI, and Intelligent Document Processing (IDP) solutions within a highly regulated enterprise environment. The ideal candidate will combine strong AI/LLM expertise with full-stack software engineering, AWS cloud, and DevSecOps capabilities, with a proven ability to deliver AI solutions that create measurable business and operational outcomes.

Key Responsibilities

• Design, build, and deploy production-grade AI and LLM solutions.
• Develop RAG architectures, AI agents, agentic workflows, and LLM-powered applications.
• Implement prompt engineering, model evaluation, orchestration, and optimisation.
• Develop document classification, extraction, validation, verification, redaction, and workflow automation capabilities.
• Integrate OCR, document intelligence, and AI technologies into enterprise applications and customer journeys.
• Build reusable AI and document intelligence services across business domains.
• Develop modern web applications using ReactJS and backend services using Python, Java, Go, or .NET.
• Design scalable APIs, microservices, and event-driven architectures.
• Build and operate cloud-native solutions on AWS.
• Develop containerised applications using Docker and implement CI/CD pipelines.
• Improve system observability, reliability, security, and operational resilience.
• Apply DevSecOps and responsible AI practices throughout the software development lifecycle.
• Mentor and support engineering teams while contributing to technical architecture and engineering standards.

Mandatory AI & LLM Skills

• Hands-on experience with OpenAI, Claude, Gemini, Llama, or equivalent LLMs.
• Strong experience with:
• Prompt Engineering
• Retrieval Augmented Generation (RAG)
• AI Agents
• Agentic Workflows
• AI Evaluation
• Experience integrating LLMs into enterprise applications and business workflows.
• Understanding of AI security, privacy, explainability, fairness, governance, and Responsible AI.
• Experience with:
• Document Classification
• Data Extraction
• OCR Technologies
• Document Workflow Automation
• Redaction Services
• Experience processing structured, semi-structured, and unstructured documents.
• Proven ability to use intelligent automation to improve customer and operational outcomes.

Software Engineering & Cloud Skills

• Strong programming experience in one or more of Python, Java, Go, or .NET.
• Strong API design and integration experience.
• Experience with Docker and containerisation.
• Strong understanding of CI/CD pipelines and automated testing.
• Experience working in highly regulated enterprise environments.
• Strong software design and solution architecture capabilities.
• Deep understanding of DevSecOps principles.
• Experience designing resilient, scalable, and observable systems.
• Strong problem-solving and systems-thinking capabilities.
• Ability to balance innovation, delivery, risk, security, and resilience.
• Experience mentoring engineers and contributing to engineering standards and best practices.

Location: Sydney