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