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 setting. 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.
- Design and deliver enterprise-scale Intelligent Document Processing (IDP) solutions.
- 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

- Proven experience delivering production-grade LLM solutions.
- Hands-on experience with OpenAI, Claude, Gemini, Llama, or equivalent LLMs.




- Strong experience with:
- Prompt Engineering
- Retrieval Augmented Generation (RAG)
- AI Agents
- Agentic Workflows
- Model Orchestration
- AI Evaluation
- Model Performance Optimisation
- Experience integrating LLMs into enterprise applications and business workflows.
- Understanding of AI security, privacy, explainability, fairness, governance, and Responsible AI.

Mandatory Intelligent Document Processing Skills

- Strong hands-on experience delivering Intelligent Document Processing solutions.
- Experience with:
- Document Classification
- Data Extraction
- OCR Technologies
- Document Validation & Verification
- Document Workflow Automation
- Redaction Services
- Document Intelligence Platforms
- Experience processing structured, semi-structured, and unstructured documents.
- Proven ability to use intelligent automation to improve customer and operational outcomes.

Software Engineering & Cloud Skills

- Extensive enterprise software development experience.
- Strong programming experience in one or more of Python, Java, Go, or .NET.
- Strong ReactJS development experience.
- Strong API design and integration experience.
- Strong AWS cloud engineering experience.
- Experience with Docker and containerisation.
- Strong understanding of CI/CD pipelines and automated testing.
- Experience working in highly regulated enterprise environments.

Engineering & DevSecOps

- 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

If this sounds like you, apply now or contact Anupama Cavuturi on 0486 199 174 for a confidential discussion.

📌 Full Stack Engineer (Sydney)
🏢 Umbrella Club
📍 Sydney