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  • An estimate based on public data for similar roles. Not provided by the employer.

Agentic AI / LLM Developer

Malaysia Capgemini Estimated salary: MYR 10,000–MYR 22,000 per month
Role summary

Written by MyIslandJob from the job title and employer. See the employer's page for the full description.

The role involves designing, developing and deploying agentic AI solutions and large language model applications for enterprise clients. Candidates should have strong experience with Python, machine learning, generative AI, prompt engineering, retrieval-augmented generation, vector databases and APIs. Familiarity with cloud platforms, software development practices, AI evaluation, data security and responsible AI is expected. Experience integrating LLMs with business systems, building autonomous workflows and working with frameworks such as LangChain, Semantic Kernel or similar tools would be valuable. The candidate should be comfortable collaborating with consultants, architects and clients, translating business needs into practical AI solutions, and explaining technical concepts clearly. A degree in computer science, engineering, data science or a related field is typically preferred.

About the employer

Capgemini is a global consulting, technology services and digital transformation company headquartered in France. It helps organisations modernise technology, improve operations and create new digital products across industries such as financial services, manufacturing, healthcare, retail and the public sector. Its services cover cloud, data and artificial intelligence, software engineering, cybersecurity, enterprise applications, customer experience and business consulting. Capgemini works with major technology partners and supports clients from strategy and design through implementation and managed services. In Malaysia, the company provides opportunities for technology professionals to work on regional and international projects, often in multicultural delivery teams. Employees may gain exposure to enterprise platforms, emerging technologies and large-scale transformation programmes, although project experience and working conditions can vary by account and business unit.

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