AI Solutions Engineer (Petaling Jaya)

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.

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 — 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

PythonDevOps (Docker / Kubernetes / CI-CD)

Benefits

• Dental Coverage