JD

Mandatory AI & LLM Experience

- Proven experience delivering production-grade LLM solutions.
- Demonstrated success deploying AI solutions that generated measurable business outcomes.
- Hands-on experience with Large Language Models such as OpenAI, Claude, Gemini, Llama or equivalent.
- Hands-on experience with prompt engineering, Retrieval Augmented Generation (RAG), AI agents and agentic workflows.
- Experience with model orchestration frameworks, AI evaluation frameworks and model performance optimization.
- Experience integrating LLMs into enterprise applications and business workflows.
- Understanding of AI security, privacy, explainability, fairness, governance and responsible AI controls.

Mandatory Intelligent Document Processing Experience

- Deep experience delivering Intelligent Document Processing solutions.
- Experience with document classification, data extraction, OCR technologies, validation and verification frameworks, document workflow automation, redaction services and document intelligence platforms.
- Demonstrated ability to improve customer and operational outcomes through intelligent automation.
- Experience processing structured, semi-structured and unstructured document workloads.

Technical Engineering Experience

- Extensive experience developing enterprise applications.
- Strong programming capability in one or more of Python, Java, Go or .NET.
- Strong ReactJS development experience.
- Strong API design and integration experience.
- Strong AWS cloud engineering capability.
- Docker and containerization experience.
- CI/CD pipeline design and implementation experience.
- Automated testing framework experience.
- Experience working in highly regulated enterprise environments.

Engineering Excellence

- Strong software design and solution architecture skills.
- Deep understanding of DevSecOps principles.
- Experience designing resilient and observable systems.
- Strong problem-solving and systems-thinking capabilities.
- Demonstrated ability to balance innovation, delivery, risk and resilience.





Key Responsibilities

AI, LLM & Document Intelligence

- Design, build and deploy AI-powered solutions into production environments.
- Develop and maintain LLM-based applications that deliver measurable business value.
- Design and implement Retrieval Augmented Generation (RAG) architectures.
- Build AI agents and orchestration frameworks that automate document-centric business processes.
- Develop prompt engineering, model evaluation and model optimisation capabilities.
- Assess and select appropriate AI models based on business outcomes, performance, cost and risk considerations.
- Drive adoption of AI-powered engineering practices across the crew.

Intelligent Document Processing

- Design and build enterprise-scale Intelligent Document Processing solutions.
- Develop document classification, extraction, validation, redaction and workflow automation capabilities.
- Integrate OCR, document intelligence and AI technologies into customer journeys.
- Improve straight-through processing rates through intelligent automation.
- Build reusable document intelligence services that can be leveraged across multiple business domains.
- Drive innovation in document processing through emerging AI technologies.

Full Stack Engineering

- Design, develop and maintain modern web applications and APIs.
- Build responsive user experiences using ReactJS.
- Develop backend services using Python, Java, Go or .NET.
- Design scalable microservices and event-driven architectures.
- Contribute to technical architecture, engineering standards and strategic technology direction.
- Mentor and uplift engineering capability across the squad and broader engineering community.

Cloud, Platform & DevSecOps

- Build and operate cloud-native solutions on AWS.
- Develop containerised workloads using Docker.
- Design and enhance CI/CD pipelines to improve delivery speed and quality.
- Automate infrastructure, testing and deployment activities wherever possible.
- Improve observability, operational resilience and platform reliability.
- Apply up-to-date DevSecOps practices throughout the software delivery lifecycle.

📌 Full Stack Engineer (Sydney)
🏢 Russell Tobin
📍 Sydney