Full Stack Engineer
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• 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 optimisation.
• 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 containerisation 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 •
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