Intermediate AI Automation Engineer
Full-time
Network Finance
Key Responsibilities
Minimum Requirements
Technical Expertise
AI & Automation
Exposure to technologies such as:
- 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.
- Containerised application deployment and operations.
- Infrastructure and platform monitoring.
- Performance optimisation and troubleshooting.
- Scalable AI platform architecture.
- API development and integration.
- ERP, CRM, document management, and enterprise platform connectivity.
- Secure and governed system interactions.
Exposure to technologies such as:
- LangGraph
- LiteLLM
- Qdrant
- pgvector
- Langfuse
- n8n
- Temporal
- Docker
- Kubernetes
- vLLM
Vacancy posted 2 days ago
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