Intermediate AI Automation Engineer

Key Responsibilities * Partner with departments including Sales, Human Resources, Finance, Technical Support, Production, and Marketing to analyse business processes and identify automation opportunities. * Quantify inefficiencies and develop prioritised pipelines of potential automation initiatives. * Design, develop, deploy, and maintain end-to-end automation solutions throughout their lifecycle. * Build and support AI-powered workflows, agent-based solutions, and intelligent process automation capabilities. * Contribute to the development and maintenance of core AI platform components, including: * Model gateways * Agent runtimes * Retrieval and knowledge services * Integration layers * User-facing platforms * Develop reusable platform capabilities to enable scalable delivery across business functions. * Implement governance controls, evaluation frameworks, monitoring, audit logging, and security standards. * Maintain the operational health, performance, availability, and cost efficiency of assigned platform components. * Ensure compliance with data protection, privacy, and information security requirements. * Develop and maintain regression and evaluation suites to measure solution quality and business impact. * Deliver user enablement activities, including training, demonstrations, documentation, and adoption support. * Participate in technology evaluations and contribute to technical roadmap discussions. * Mentor junior engineers through code reviews, coaching, and knowledge-sharing initiatives. * Produce and maintain clear technical documentation and operational procedures. Minimum Requirements * Bachelor's Degree in: * Computer Science * Software Engineering * Computer Engineering * Information Systems * Electronic Engineering * Or a related technical field * Minimum 3 to 5 years' experience in software development, automation, data engineering, or a related discipline. * Proven experience delivering production-ready solutions that are actively used within a business environment. * Hands-on experience building AI or Large Language Model (LLM)-based applications. * Experience with: * Retrieval-Augmented Generation (RAG) * Agent-based workflows * Automation pipelines * Strong Python development skills. * Proficiency in at least one additional programming language such as: * Java * TypeScript * C# * Experience integrating with enterprise platforms such as ERP, CRM, ticketing, or document management systems using APIs. * Working knowledge of: * Git and version control systems * CI/CD pipelines * Containerisation technologies * Production monitoring tools * Understanding of Agile, Scrum, and DevOps practices. * Experience engaging directly with business stakeholders and translating requirements into adopted solutions. * Knowledge of data protection, information security, and access control principles. Technical Expertise AI & Automation * AI application development and orchestration. * Agent engineering and workflow design. * Retrieval-augmented generation (RAG) solutions. * Large language model integration and evaluation. * Automation lifecycle management. Platform Engineering * Containerised application deployment and operations. * Infrastructure and platform monitoring. * Performance optimisation and troubleshooting. * Scalable AI platform architecture. Systems Integration * API development and integration. * ERP, CRM, document management, and enterprise platform connectivity. * Secure and governed system interactions. Advantageous Experience Exposure to technologies such as: * LangGraph * LiteLLM * Qdrant * pgvector * Langfuse * n8n * Temporal * Docker * Kubernetes * vLLM Apply today!or equivalent modern AI and automation toolchains. Network Finance Recruiter