AI Solutions Engineer

About the role

A hands-on delivery role that designs, builds, deploys and continuously improves production-ready AI solutions powered by Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) and agent-based workflows. Working under the Senior AI Solutions Engineer, this person takes solutions from proof-of-concept through to stable production — building intelligent assistants, knowledge systems and workflow automation, integrating them with enterprise systems, and optimising them for accuracy, reliability, latency and cost.

Key responsibilities

• Build and enhance AI-powered applications using LLMs, RAG pipelines and agent / workflow automation.
• Apply prompt engineering, structured outputs, tool calling, validation and fallback techniques to improve accuracy, reliability and consistency.
• Design retrieval and grounding strategies using customer documents, databases and APIs as approved knowledge sources; build and maintain vector search and knowledge bases.
• Select suitable models and configurations based on quality, latency, cost and security requirements.
• Integrate AI services with APIs, backend systems, databases and messaging channels.
• Take solutions from proof-of-concept to production, addressing accuracy, hallucination, latency, cost and system stability.
• Set up AI evaluation, automated testing, logging and monitoring; analyse results and continuously optimise prompts, workflows and model choices.
• Produce clear technical documentation, test reports and operational handover materials.
• Support customer-facing activities — demonstrations, proof-of-concepts and workshops — in Bahasa Melayu and English.

About you

• Degree in Computer Science, AI, Software Engineering, Information Technology, Data Science or a related discipline.
• Open to fresh graduates or candidates with around 1 year of relevant hands-on experience; a strong project portfolio is highly valued.
• Hands-on experience delivering AI / LLM / chatbot / automation projects, ideally from proof-of-concept through to production.
• Proficient in Python with sound software-engineering fundamentals.
• Experienced with APIs, databases, backend development and system integration.
• Familiar with cloud platforms, Docker, Git, CI/CD and monitoring.
• Familiar with mainstream large language models and model selection.
• Skilled in prompt engineering, structured output and tool calling.
• Experienced in RAG, vector search and knowledge-base development.
• Able to develop AI agents and automated workflows.

Benefits

• Dental Coverage