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AI Engineer Intern (Agentic 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 (Agentic AI) (LLMs/RAG): Designing, prototyping, 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 building AI agents, preparing datasets, integrating AI services, and benchmarking system performance, latency, and reliability.

Location: Singapore

Company

Razer develops gaming products and platforms for a global gaming community.

What you will do

  • Design, prototype, and evaluate agentic AI components such as planning logic, tool usage, memory, and multi-step reasoning.
  • Develop and optimize retrieval-augmented generation pipelines using embeddings and vector databases.
  • Prepare datasets and experiment with LLM fine-tuning and adaptation techniques, including instruction tuning and LoRA.
  • Build internal tools, frameworks, and workflows for LLM-driven agents and integrate third-party AI services.
  • Benchmark and evaluate models, prompts, agent behaviors, and retrieval strategies.
  • Test, debug, and improve system performance, latency, and reliability while collaborating with AI, platform, and DevOps engineers.

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, vector databases, embeddings, or model adaptation.

Culture & Benefits

  • Full-time internship within the Agentic AI Pod.
  • Hands-on exposure to modern AI stacks and production-oriented AI engineering practices.
  • Collaboration with experienced AI Engineers, Platform Engineers, and DevOps teams.
  • Inclusive and respectful workplace with reasonable accommodations where needed.

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