Overview
We are seeking a motivated Developer with a keen interest in artificial intelligence and natural language processing. In this role, you will support the development of innovative applications that leverage AI tools and Large Language Models (LLMs) such as OpenAI GPT, Google Gemini, or similar frameworks.
Key Responsibilities:
Assist in building and integrating AI-driven features into web or software applications
Work with APIs from LLM providers to develop chatbots, text analysis tools, or automation features
Collaborate with cross-functional teams to prototype and test AI solutions
Conduct research on emerging AI tools and best practices
Write clean, maintainable, and well-documented code
Requirements:
Degree in Computer Science, Software Engineering, or related field
Familiarity with .NET and JavaScript/TypeScript, Python or similar programming languages
Exposure to AI tools or libraries (e.g., OpenAI API, Hugging Face Transformers, LangChain)
Understanding of how LLMs work and their practical applications
Strong problem-solving skills and a willingness to learn
Desirable:
Experience with Git, REST APIs, or cloud platforms (e.g., AWS, Azure)
Personal or academic projects involving LLMs or generative AI
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Degree Specialization
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About Idhammar Systems
About Idhammar Systems
Idhammar Systems is a UK-based software company specialising in Computerised Maintenance Management Systems (CMMS) and Overall Equipment Effectiveness (OEE) solutions. For over 40 years, we’ve helped manufacturers across industries such as food & beverage, pharmaceuticals, paper, and heavy industry to improve productivity, safety, and compliance.
Our products include advanced features like electronic permit to work, mobile apps, customer request portals, and Power BI reporting—all designed to keep critical assets running at peak performance.
We are part of a global technology group and pride ourselves on delivering reliable, innovative, and user-friendly software backed by expert support. At Idhammar, you’ll work on solutions that make a real difference to production efficiency in factories worldwide.