Junior AI Engineer

• Collaborate with departments such as Sales, Human Resources, Finance, Technical Support, Production, and Marketing to understand and document business processes.
• Identify opportunities where AI and automation can reduce manual effort, improve accuracy, and streamline workflows.
• Develop, test, and deploy automation agents and workflows on an internal AI platform.
• Assist in the development and maintenance of AI platform components, including integrations, retrieval services, and user-facing tools.
• Build and maintain integrations with ERP, CRM, ticketing, and knowledge management systems.
• Monitor platform performance, usage, and operational health, resolving routine issues and escalating where necessary.
• Create and maintain test cases and evaluation frameworks to ensure solution quality and reliability.
• Apply data privacy, security, governance, and access control standards across all solutions.
• Produce clear technical and process documentation.
• Provide first-line support to users and gather feedback for ongoing improvements.
• Participate in code reviews, design discussions, and knowledge-sharing initiatives.
• Stay informed about emerging trends in AI, automation, and software engineering.

Minimum Requirements

• Bachelor's Degree in Computer Science, Software Engineering, Computer Engineering, Information Systems, Electronic Engineering, or a related field.
• 0 to 2 years' experience in software development, automation, data engineering, or a related discipline.
• Relevant academic projects, internships, or practical experience will be considered.
• Experience with Python programming.
• Exposure to at least one AI or Large Language Model (LLM) framework, API, or technology through academic, personal, or professional projects.
• Working knowledge of:
• Version control systems (Git)
• Relational databases
• RESTful APIs
• Understanding of software development methodologies, including Agile and Scrum.

Technical Skills Required

• Python development.
• Knowledge of software engineering principles and best practices.
• API and systems integration.
• Business process analysis and workflow mapping.
• Testing, troubleshooting, and documentation.
• Understanding of data security, privacy, and access control principles.

Advantageous

Exposure to any of the following technologies or similar toolsets would be beneficial:

• LiteLLM
• Qdrant
• pgvector
• Langfuse
• Docker
• vLLM
• Containerisation technologies
• Linux environments
• Cloud or on-premises infrastructure platforms

What You'll Gain

• Exposure to a wide range of business functions and operational processes.
• Hands-on experience with AI applications, automation platforms, and software engineering.
• Mentorship and guidance from experienced engineers.
• Opportunities to work with emerging technologies and modern AI toolchains.
• A collaborative and supportive work environment that values innovation and continuous learning.
• Career development opportunities within a growing and forward-thinking organisation.