Job Description
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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 n
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Design, build, and deploy production-grade AI and LLM solutions.
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Develop RAG architectures, AI agents, agentic workflows, and LLM-powered applications.
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Implement prompt engineering, model evaluation, orchestration, and optimisation.
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Develop document classification, extraction, validation, verification, redaction, and workflow automation capabilities.
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Integrate OCR, document intelligence, and AI technologies into enterprise applications and customer journeys.
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Build reusable AI and document intelligence services across business domains.
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Develop modern web applications using ReactJS and backend services using Python, Java, Go, or .NET.
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Design scalable APIs, microservices, and event-driven architectures.
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Build and operate cloud-native solutions on AWS.
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Develop containerised applications using Docker and implement CI/CD pipelines.
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Improve system observability, reliability, security, and operational resilience.
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Apply DevSecOps and responsible AI practices throughout the software development lifecycle.
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Mentor and support engineering teams while contributing to technical architecture and engineering standards.
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Mandatory AI & LLM Skills n
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Hands-on experience with OpenAI, Claude, Gemini, Llama, or equivalent LLMs.
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Strong experience with:
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Prompt Engineering
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Retrieval Augmented Generation (RAG)
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AI Agents
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Agentic Workflows
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AI Evaluation
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Experience integrating LLMs into enterprise applications and business workflows.
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Understanding of AI security, privacy, explainability, fairness, governance, and Responsible AI.
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Experience with:
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Document Classification
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Data Extraction
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OCR Technologies
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Document Workflow Automation
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Redaction Services
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Experience processing structured, semi-structured, and unstructured documents.
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Proven ability to use intelligent automation to improve customer and operational outcomes.
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Software Engineering & Cloud Skills n
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Strong programming experience in one or more of Python, Java, Go, or .NET.
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Strong API design and integration experience.
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Experience with Docker and containerisation.
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Strong understanding of CI/CD pipelines and automated testing.
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Experience working in highly regulated enterprise environments.
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Robust software design and solution architecture capabilities.
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Deep understanding of DevSecOps principles.
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Experience designing resilient, scalable, and observable systems.
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Strong problem-solving and systems-thinking capabilities.
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Ability to balance innovation, delivery, risk, security, and resilience.
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Experience mentoring engineers and contributing to engineering standards and best practices.
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Location: Sydney
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📌 Full Stack Engineer (New South Wales)
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