Intermediate Automation Developer

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.
• Ex

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