Position: AI Automation Engineer (1-Year Fixed Term Contract)
Job Mission
To design, build, and deploy AI-powered automation systems that transform complex, repetitive, and decision-intensive business processes into scalable, intelligent workflows. This role enables Medifab Global to achieve higher efficiency, accuracy, and cost effectiveness while freeing teams to focus on higher-value, creative, and strategic work through the practical application of modern AI and automation technologies.
Accountabilities
Develop and maintain an enterprise AI & automation roadmap aligned to business priorities
- Approved roadmap delivered within first 6 months
Deliver high-impact AI automation initiatives
- Minimum of 2 major and 5 minor AI/automation implementations delivered within 12 months
Improve operational efficiency through automation
- Measurable reduction in manual effort, cycle time, or error rates per implementation
Ensure reliability, scalability, and maintainability of AI systems
- Production automations meet agreed performance, uptime, and quality standards
Enable safe and responsible use of AI across business processes
- Compliance with internal governance, security, and ethical AI standards
Responsibilities
- Analyse end-to-end business processes to identify automation and AI augmentation opportunities
- Design intelligent automation architectures, including agent-based systems, RAG pipelines, and multi-step workflows
- Build, test, and deploy AI-powered automations using modern frameworks and orchestration tools
- Integrate AI systems with internal and external platforms using APIs, webhooks, and event-driven architectures
- Implement prompt engineering strategies and model-chaining techniques to ensure reliable and repeatable outputs
- Collaborate with stakeholders to translate business requirements into technical solutions
- Monitor, optimise, and iterate deployed automations based on performance and business feedback
- Maintain clear technical documentation, architecture diagrams, and handover materials
- Stay current with emerging AI, automation, and agentic system trends and apply learnings pragmatically
Qualifications and Experience
Required Knowledge
- Modern AI/Generative AI systems and agentic architectures
- AI automation frameworks and workflow orchestration patterns
- API-driven system integration and event-based architectures
- Secure, responsible, and ethical use of AI in business environments
Required Skills (Non-Negotiable)
- Strong coding skills in Python and/or JavaScript/TypeScript.
- Advanced LLM / Generative AI usage and prompt engineering
- Hands-on experience with AI automation frameworks such as LangChain, LlamaIndex, CrewAI, AutoGen, Haystack, or similar
- Strong API, integration, and orchestration capabilities (REST/GraphQL, webhooks, workflow engines)
- Process analysis and mapping skills to design adaptive, intelligent automation flows
Required Experience (Non-Negotiable)
- Bachelor’s degree in Computer Science, Engineering, Data Science, IT, or equivalent practical experience
- 2–5+ years’ experience in automation engineering, software development, or AI implementation
- Demonstrable portfolio of real-world, end-to-end AI automation projects (e.g. agent workflows, RAG systems, production bots)
