AI Engineer

AI EngineerCompany OverviewAI System Integrator Asia Pte. Ltd. is a Singapore-based company delivering practical AI solutions across Southeast Asia, specializing in generative AI, Large Language Models (LLMs), AI automation, computer vision, and enterprise AI integrations.Job SummaryAs an AI Engineer, you will research, prototype, build, and deploy AI solutions for internal products and enterprise clients, focusing on Generative AI, Large Language Models (LLMs), and multi-domain AI applications to solve business challenges.You will work across AI domains such as:Generative AIAI AgentsLarge Language Models (LLMs)Retrieval-Augmented Generation (RAG)Computer VisionAI Workflow AutomationEnterprise AI IntegrationResponsibilitiesAI Product DevelopmentDesign and develop AI-powered applications and internal tools to meet business needsBuild prototypes and proof-of-concepts (POCs) to validate AI solutionsExplore and evaluate emerging AI technologies and frameworks for innovationTranslate business requirements into scalable AI solutionsParticipate actively in product ideation and AI innovation initiativesGenerative AI / Agentic AIBuild AI agents and multi-agent workflows to automate enterprise processesIntegrate Large Language Models (LLMs) such as OpenAI, Claude, Gemini, or open-source models into applicationsDevelop Generative AI applications tailored for enterprise use casesDesign and implement Retrieval-Augmented Generation (RAG) systems to enhance AI outputsOptimize prompts, workflows, memory, and tool usage for improved AI performanceEvaluate LLM capabilities and architectures to inform solution designDevelop AI copilots and AI workflow automation solutionsComputer VisionDevelop or integrate video analytics and computer vision solutions using CCTV/video streamsImplement object detection, tracking, and analytics for real-time insightsDeploy AI inference pipelines on edge devices or servers for efficient processingSystem IntegrationIntegrate AI systems with enterprise software, APIs, databases, and messaging platformsBuild workflow automation pipelines to streamline business operationsManage cloud-based or on-premise AI deployments for scalability and reliabilityDeployment & OptimizationDeploy AI applications into production environments ensuring stabilityMonitor AI system performance and implement improvementsTroubleshoot and optimize latency, reliability, and scalability of AI solutionsRequired Competencies and CertificationsProficient in Python programming for AI developmentExperience with API Development and backend integrationUnderstanding of Generative AI, Large Language Models (LLMs), Prompt Engineering, or AI AgentsBasic knowledge of Machine Learning and Deep Learning conceptsHands-on experience with LangChain, LangGraph, or LlamaIndex for building AI agents and RAG applicationsFamiliarity with AI frameworks and tools such as:OpenAI APITensorFlowPyTorchOpenCVONNX RuntimeVector DatabasesPreferred Competencies and QualificationsExperience in Computer Vision or video analytics developmentExperience deploying AI models in production environmentsFamiliarity with Docker, Linux, or cloud platformsExperience with frontend development or AI-powered dashboardsKnowledge of Retrieval-Augmented Generation (RAG) architecturesExperience with Nvidia AI ecosystem or edge AI devicesExperience building AI copilots or AI workflow automation systemsKey SkillsPython, API Development, Generative AI, Large Language Models (LLM), Machine Learning, Deep Learning, Prompt Engineering, Computer Vision, LangChain, TensorFlow, PyTorch, OpenCV, AI Agents, RAG, AI IntegrationPreferred TraitsCurious and proactive learner with a strong problem-solving mindsetAbility to work independently and collaboratively in a fast-moving environmentBusiness-minded and practical approach to AI developmentStrong communication and collaboration skillsPassion for exploring emerging AI technologiesEducation & ExperienceDegree in Computer Science, Software Engineering, AI, Data Science, or related field preferredCandidates with strong project portfolios or relevant experience are welcome without a traditional degreeFresh graduates with strong AI portfolios may applyCandidates with 2–5 years of experience preferred for mid-level role