{"id":784251,"url":"https://alion.io/job/razer-ai-engineer-intern","title":"AI Engineer Intern","company":{"id":3457,"name":"Razer","domain":"razer.com","url":"https://alion.io/company/razer","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":81,"open_postings":42,"ghost_share":0,"stale_share":0.762,"repost_share":0,"time_to_fill_p50_days":42,"computed_at":"2026-11-05T05:54:30Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Claude","optional":false},{"name":"Embeddings","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Gemini","optional":false},{"name":"LangChain","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"LoRA","optional":false},{"name":"NLP","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"PEFT","optional":true}],"status":"live","first_seen_at":"2026-09-11T00:00:00Z","employer_posted_date":"2026-09-11","last_verified_at":"2026-11-05T11:15:40Z","board_verified":true,"closed_at":null,"days_open":55,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":55},"description":"Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work, offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally.\nJob Responsibilities :\nAs an AI Engineer Intern within the Agentic AI Pod, you will work closely with experienced AI Engineers to help design, prototype, and evaluate agentic AI systems on Razer’s internal AI platform. This internship offers hands-on exposure to modern AI stacks involving LLMs, retrieval-augmented generation (RAG), agent orchestration, and model adaptation, applied to real-world gaming and platform use cases.You will contribute to building and improving autonomous and semi-autonomous AI agents, gaining experience across the AI development lifecycle-from data preparation and experimentation to system integration and evaluation-while learning best practices in scalable, production-oriented AI engineering.\nKey Responsibilities\nAssist in designing and implementing agentic AI components, such as planning logic, tool usage, memory, and multi-step reasoning\nSupport the development and optimization of Retrieval-Augmented Generation (RAG) pipelines using embeddings and vector databases\nHelp prepare datasets and experiment with LLM fine-tuning or adaptation techniques (e.g., instruction tuning, LoRA)\nContribute to internal tooling, frameworks, or workflows for LLM-driven agents\nIntegrate and experiment with 3rd-party AI services (LLMs, speech, vision, or agent frameworks)\nParticipate in benchmarking and evaluation of models, prompts, agent behaviors, and retrieval strategies\nAssist with testing, debugging, and improving system performance, latency, and reliability\nCollaborate with AI Engineers, Platform Engineers, and DevOps teams while learning industry best practices\nStay up to date with emerging trends in agentic AI, LLMs, and RAG systems\nTechnical Skills\nStudents pursuing a degree in Computer Science, AI, ML, or a related technical field are welcome to apply\nStrong programming skills in Python and familiarity with software engineering fundamentals\nBasic understanding of large language models (LLMs) and prompt engineering concepts\nFamiliarity with at least one LLM API or open-source LLM (e.g., OpenAI, Claude, Gemini, LLaMA)\nExposure to or interest in RAG pipelines, agent frameworks, or ML workflows\nWillingness to learn and experiment with modern AI tools and frameworks (e.g., LangChain, LlamaIndex)\nCoursework, projects, or research related to NLP, LLMs, or agent-based systems\nExperience from academic, personal, or hackathon projects involving: Prompt engineering, Vector databases or embeddings, Fine-tuning or adapting ML models\nPre-Requisites :\nRazer is proud to be an Equal Opportunity Employer. We believe that diverse teams drive better ideas, better products, and a stronger culture. We are committed to providing an inclusive, respectful, and fair workplace for every employee across all the countries we operate in. We do not discriminate on the basis of race, ethnicity, colour, nationality, ancestry, religion, age, sex, sexual orientation, gender identity or expression, disability, marital status, or any other characteristic protected under local laws. 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