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Chatbot Algorithm Engineer - Marketplace Intelligence and Data (2027 Graduate)

Fresher
  • Posted 12 hours ago
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Job Description

Job Description:

  • Design and develop algorithms for AI assistants and agentic applications, covering areas including LLM post-training, supervised fine-tuning (SFT), Mixture-of-Experts (MoE), and user preference alignment using reinforcement learning or preference optimization techniques such as DPO and GRPO.
  • Build LLM-powered recommendation systems for user intent understanding and recommendation, including retrieval, coarse and fine ranking, user sequential modelling, semantic representation learning, and generative recommendation.
  • Develop production-ready LLM applications that integrate models with tools, APIs, knowledge bases, memory systems, and business workflows to solve real-world customer service and recommendation problems.
  • Explore and implement advanced agent harness engineering techniques, including:
    • Agent loop and graph orchestration
    • Planning, reasoning, tool selection, and execution
    • Multi-agent collaboration and task delegation
    • Skill design, skill mining, and skill lifecycle management
    • Context, memory, and knowledge management
    • Reflection, feedback loops, and self-improvement mechanisms
    • Evaluation, observability, failure analysis, and guardrail design
  • Design and develop reusable algorithm platforms, evaluation frameworks, experimentation pipelines, and supporting tools to improve the development, deployment, and iteration efficiency of AI assistant capabilities.
  • Establish robust offline and online evaluation methodologies for AI assistants and agents, covering task success rate, response quality, tool-use accuracy, safety, latency, cost efficiency, user satisfaction, and business impact.
  • Collaborate closely with product, business, operations, data, and engineering teams throughout the complete lifecycle of intelligent customer service productsâ€from problem definition and solution design to development, deployment, performance monitoring, root-cause analysis, and continuous user-experience improvement.
  • Track emerging developments in LLMs, agents, recommendation systems, and AI engineering, and translate relevant research or industry best practices into practical solutions for production environments.

Requirements:

  • Bachelor's degree or higher in Computer Science or a related field
  • Proficiency in at least one programming language, such as Python, C++ & Go
  • Skilled in at least one mainstream deep learning framework, like PyTorch, TensorFlow
  • Passion for LLM-related technology and solving challenging real-world problems
  • Deep understanding of computer fundamentals, including data structures, algorithms, and machine learning
  • Familiarity with mainstream algorithmic models in large language models, natural language processing, recommendation, and multimodality (including principles and implementation)
  • Prior research or internship experience in natural language Q&A or recommendation technology is preferred

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About Company

Shopee Pte. Ltd. is a Singaporean multinational technology company that specialises in e-commerce. The company was launched in Singapore in 2015, before it expanded abroad. As of 2021, Shopee is considered the largest e-commerce platform in Southeast Asia with 343 million monthly visitors.

Job ID: 151708681