Full Stack Engineer - IDP
Posted
Summary
Full stack engineer building AI-powered intelligent document processing (IDP) solutions: integrating LLMs, RAG and agentic workflows into enterprise applications on AWS, using Python/Java/Go/.NET, Docker, CI/CD and DevSecOps practices in a highly regulated environment.
- 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 optimisation.
- Experience integrating LLMs into enterprise applications and business workflows.
- Understanding of AI security, privacy, explainability, fairness, governance and responsible AI controls.
- 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
- Strong programming capability in one or more of Python, Java, Go or .NET.
- Strong API design and integration experience.
- Strong AWS cloud engineering capability.
- Docker and containerisation experience.
- CI/CD pipeline design and implementation experience.
- Automated testing framework experience.
- Experience working in highly regulated enterprise environments.
- 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