AI Engineer; Mid-level

A technology-focused organisation is seeking a talented Intermediate AI Engineer to join its growing engineering team.

This is an exciting opportunity for an experienced software or automation engineer who enjoys combining technical expertise with business engagement. You will work directly with stakeholders across multiple business functions to identify inefficiencies, design intelligent automation solutions, and deliver measurable operational improvements through AI-powered technologies.

The successful candidate will own automation initiatives from discovery through to deployment and adoption, while contributing to the ongoing development and operation of a sophisticated internal AI platform that supports enterprise-wide automation.

As an Intermediate AI Engineer, you will serve as the bridge between business challenges and technical solutions. You will engage directly with departments across the organisation to understand processes, identify improvement opportunities, and implement AI-enabled solutions that deliver tangible value.

Working with a high-performing engineering team, you will help shape the future of the organisation's automation capabilities while contributing to the development of scalable, secure, and governed AI infrastructure.

• 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:
• Retrieval and knowledge services
• 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.
• Bachelor's Degree in:
• Computer Science
• Software 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
• Proficiency in at least one additional programming language such as:
• Java
• Type Script
• 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
• Containerisation technologies
• Production monitoring tools
• Understanding of Agile, Scrum, and Dev Ops practices.
• Experience engaging directly with business stakeholders and translating requirements into adopted solutions.
• Knowledge of data protection, information security, and access control principles.

• AI application development and orchestration.
• Agent engineering and workflow design.
• Retrieval-augmented generation (RAG) solutions.
• Large language model integration and evaluation.
• Containerised application deployment and operations.
• Infrastructure and platform monitoring.
• Performance optimisation and troubleshooting.

• API development and integration.
• ERP, CRM, document management, and enterprise platform connectivity.
• Secure and governed system interactions.

Exposure to technologies such as:

• Lang Graph
• LiteLLM
• Qdrant
• Langfuse
• n8n
• Temporal
• Docker
• vLLM

or equivalent modern AI…