AI Solutions Engineer

Job Description

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.

Requirements

• Education
• • Degree in Computer Science, AI, Software Engineering, Information Technology, Data Science or a related discipline.
• Experience
• • 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.
• Software engineering
• • 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.
• Hands-on AI expertise
• • 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.
• • Familiarity with multimodal AI (documents, images, OCR, voice / audio) is an advantage.
• • Exposure to platforms such as GPTBots.ai, Dify, LangChain or LlamaIndex is an advantage.
• • Comfortable using Claude Code and AI-powered IDEs to accelerate delivery.
• Production delivery
• • Able to address accuracy, hallucination, latency, cost and system-stability issues.
• • Familiar with AI evaluation, automated testing, logging and continuous optimisation.
• Business understanding & communication
• • Able to translate business requirements into practical AI solutions.
• • Able to communicate effectively with management, business teams and technical teams.
• Language
• • Bahasa Melayu — mandatory (spoken and written, professional).
• • English — mandatory (spoken and written, professional).
• • Mandarin Chinese — an advantage, not required.
• Behavioural Competencies
• • Strong analytical, troubleshooting and problem-solving skills.
• • Strong ownership and attention to delivery quality.
• • Fast learner with a proactive, hands-on mindset and a genuine interest in AI.
• • Clear communicator across both technical and non-technical audiences.
• Ideal Candidate Profile
• An engineer who is not only familiar with AI models, but can also integrate systems, solve real production issues, understand business goals, and communicate clearly across technical and non-technical teams.

Required Skills

Benefits

• Dental Coverage