{"id":2611472,"url":"https://alion.io/job/tapway-junior-agentic-ai-engineer","title":"Junior Agentic AI Engineer","company":{"id":2910170,"name":"Tapway","domain":"gotapway.com","url":"https://alion.io/company/gotapway","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Kuala Lumpur, Malaysia"],"countries":["MY"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":null,"max":3000,"currency":"MYR","period":"month","gross":true,"usd_annual":8820},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Computer Vision","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"Function Calling","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Tool Use","optional":false},{"name":"vLLM","optional":false}],"status":"live","first_seen_at":"2026-10-15T10:13:45Z","employer_posted_date":null,"last_verified_at":"2026-10-15T10:13:45Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"About the Role\n\nTapway Sdn Bhd, is looking for an Agentic AI Engineer to join our AI team in Sri Petaling, Kuala Lumpur.\n\nYou will design, build, and deploy LLM-powered agentic AI systems that can reason, use tools, retrieve information, and automate complex business tasks. You will work closely with product and engineering teams to turn AI prototypes into reliable, scalable, production-ready solutions.\n\nThis is an exciting opportunity for an AI engineer who enjoys working hands-on with Large Language Models (LLMs), RAG, AI agents, and emerging AI technologies.\n\nKey Responsibilities\n\nDesign and build LLM-powered AI agents and multi-agent workflows using tool calling, planning, memory, and other agentic capabilities.\n\nDevelop Retrieval-Augmented Generation (RAG) pipelines, including document ingestion, chunking, embeddings, vector search, and re-ranking.\n\nIntegrate LLMs through cloud APIs and self-hosted inference platforms such as vLLM, with consideration for latency, cost, scalability, and performance.\n\nBuild evaluation frameworks, guardrails, and monitoring mechanisms to measure AI accuracy, reliability, performance, and safety.\n\nDevelop APIs and integrations to connect AI agents with business applications, databases, and external tools.\n\nPrototype and experiment with emerging AI technologies, then convert successful prototypes into production-ready AI features.\n\nTroubleshoot, evaluate, and optimise AI applications for performance, reliability, and scalability.\n\nCollaborate closely with Product Managers, AI/ML engineers, software engineers, and other stakeholders to translate business requirements into practical AI solutions.\n\nDocument system architecture, technical processes, experiments, and implementation details.\n\nKeep up to date with developments in LLMs, agentic AI, RAG, AI infrastructure, and machine learning and evaluate their potential applications.\n\nWhat We Offer\n\nAt Tapway, you will have the opportunity to work on real-world AI applications and gain hands-on exposure to the rapidly evolving field of agentic AI.\n\nWe provide:\n\nCompetitive compensation based on experience and qualifications\n\nOpportunities to work with LLMs, AI agents, RAG, and AI deployment technologies\n\nExposure to real-world AI product development\n\nProfessional development and continuous learning opportunities\n\nCollaborative and innovative working environment\n\nOpportunities to work closely with experienced product and engineering teams\n\nCareer growth within the ITMAX Group\n\nAbout Tapway\n\nTapway Sdn Bhd is an AI technology company within the ITMAX Group, focusing on AI-powered solutions that help businesses transform operations through intelligent automation and computer vision technologies.\n\nOur team works at the intersection of AI, software engineering, computer vision, and automation, developing practical technology solutions for real-world business and operational challenges.\n\nIf you are passionate about LLMs, agentic AI, RAG, and building intelligent systems, we would love to hear from you.\n\nApply Now\n\nPlease submit your updated CV and, where applicable, include links to your GitHub, portfolio, or AI/LLM projects demonstrating your practical experience.\nRequirements\nQualifications & Requirements\n\nEducation\n\nBachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.\n\nCandidates with equivalent practical industry experience may also be considered.\n\nExperience\n\nMinimum 1 year of hands-on experience in developing ML, LLM, or AI applications.\n\nInternship experience is considered relevant, particularly where candidates have developed practical AI/ML projects.\n\nExperience building RAG systems, AI agents, LLM applications, or similar AI solutions will be an advantage.\n\nSkills & Competencies\n\nStrong programming skills in Python.\n\nHands-on experience with LangChain, LangGraph, or similar AI/agent frameworks.\n\nGood understanding of Large Language Models (LLMs) and prompt engineering.\n\nPractical experience developing RAG pipelines, vector search, embeddings, and vector databases.\n\nFamiliarity with tool calling, agent workflows, memory, and multi-agent systems.\n\nExperience with vLLM or other LLM inference/deployment technologies is an advantage.\n\nExperience with Docker and deploying applications to cloud or on-premise environments.\n\nGood understanding of software engineering principles, APIs, Git, and system integration.\n\nStrong analytical and problem-solving skills.\n\nAbility to work collaboratively with product and engineering teams.\n\nPassion for experimenting with emerging AI technologies and turning ideas into practical solutions.\n\nSkills\nLLM Application, AI Agents, AI Agent Monitoring, Cloud Deployment","description_format":"text","description_chars":4735,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Professional 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