About this role
Job Description:
Key responsibilities
AI initiatives and innovation
• Research, trial and compare AI coding assistants and developer tools, and recommend what the team should adopt. • Build prototypes and proofs of concept using LLM APIs, prompt engineering, retrieval (RAG) and simple AI agents. • Help create internal AI tools, such as automated code review, test generation, log analysis or knowledge-base search. • Write reusable prompts, templates and how-to guides, and run short demos to help colleagues adopt AI. • Track and report the time saved and quality gained from using AI on real work. Software development
• Support the design, development and testing of applications, integrations and automation scripts. • Assist in troubleshooting, debugging and maintaining existing code. • Work with Git, code reviews and CI/CD pipelines as part of a team. • Write unit tests and clear technical documentation. Secure and responsible AI
• Apply secure coding basics (OWASP Top 10, input validation, secrets handling). • Help define safe-use guidelines for AI tools, including data privacy and review of AI-generated code. • Assist with dependency and vulnerability scanning.
Qualifications and skills
Required
• Recent Degree or Diploma in Computer Science, Software Engineering, Data Science or a related field. • Programming skills in at least one language (Python, Java, C# or JavaScript/TypeScript). • Regular, practical use of AI tools (e.g. ChatGPT, Claude, GitHub Copilot, Cursor) in study or personal projects. • Understanding of core concepts: APIs, databases/SQL and version control. • Curiosity, a problem-solving mindset, and confidence sharing ideas with others. • Good written and verbal communication in English. Advantageous
• A project using LLM APIs, RAG, agents or machine learning (final-year project, hackathon or GitHub portfolio). • Coursework or interest in AI ethics, application security or cloud platforms (Azure/AWS). • Experience with Docker, automation, or low-code/AI workflow tools. What we offer
• Mentorship from experienced developers and architects, plus structured product training. • A visible role shaping how a global team adopts AI in software delivery. • Real-world experience on customer projects in the marine and terminal operations industry. • A supportive environment to grow a career in AI-enabled software development. Kaleris is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.