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обновлено 12 дней назад

AI Engineer Intern (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
Singapore
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
AI Engineer Intern (AI): Building and evaluating agentic AI systems for gaming and platform use cases with an accent on LLMs, retrieval-augmented generation, agent orchestration, and model adaptation. Focus on designing multi-step agents, optimizing retrieval pipelines, preparing datasets, and benchmarking system performance, latency, and reliability.

Location: Singapore

Company

Razer develops gaming products and platforms and operates with a global, gamer-focused mission.

What you will do

  • Design, prototype, and evaluate agentic AI systems on an internal AI platform.
  • Implement agent components including planning logic, tool usage, memory, and multi-step reasoning.
  • Develop and optimize RAG pipelines using embeddings and vector databases.
  • Prepare datasets and experiment with LLM fine-tuning and adaptation techniques such as instruction tuning and LoRA.
  • Integrate third-party AI services and contribute to internal tooling, frameworks, and workflows.
  • Benchmark, test, debug, and improve model and system performance, latency, and reliability.

Requirements

  • Currently pursuing a degree in Computer Science, AI, ML, or a related technical field.
  • Strong Python programming skills and familiarity with software engineering fundamentals.
  • Basic understanding of large language models and prompt engineering.
  • Familiarity with at least one LLM API or open-source LLM, such as OpenAI, Claude, Gemini, or LLaMA.
  • Exposure to or interest in RAG pipelines, agent frameworks, ML workflows, NLP, LLMs, or agent-based systems.
  • Coursework, research, personal projects, or hackathon experience involving prompt engineering, embeddings, vector databases, or model adaptation.

Nice to have

  • Experience with LangChain or LlamaIndex.
  • Experience integrating speech, vision, or agent framework services.

Culture & Benefits

  • Full-time internship with hands-on exposure to production-oriented AI engineering.
  • Collaboration with AI Engineers, Platform Engineers, and DevOps teams.
  • Learning opportunities across the full AI development lifecycle.
  • Inclusive and respectful workplace with reasonable accommodations where needed.

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