Junior/Senior Data Scientist

1 week ago

New Taipei City, Taiwan Foxconn Interconnect Technology (FIT) Full time $70,000 - $120,000 per year

We are seeking a highly skilled and motivated Data Scientist(LLM, RAG) to join our team and contribute to the development of cutting-edge AI solutions. The ideal candidate will have hands-on experience in building
RAG
knowledge systems and expertise in frameworks such as LangChain, LangGraph, or LlamaIndex. This role will focus on designing, implementing, and optimizing LLM-based applications to solve complex problems, leveraging pre-trained models and integrating them into scalable workflows. Additionally, the candidate will work on
Agentic AI
systems that enable autonomous decision-making and
MCP
(Memory, Context, and Personalization) capabilities to create intelligent, context-aware applications. If you are passionate about pushing the boundaries of AI and enjoy working in a fast-paced, innovative environment, we'd love to hear from you.

[Core Responsibilities]

  • Design and Develop Agentic AI Systems:
    Build and optimize Survey Agentic AI platforms that leverage memory, context, and personalization (MCP) to create autonomous and intelligent agents.
  • Implement RAG Pipelines:
    Develop and deploy Retrieval-Augmented Generation (RAG) systems to enhance knowledge retrieval and generation capabilities.
  • Leverage AI Toolkits:
    Work with platforms like Cohere, Microsoft AI tools (e.g., Azure OpenAI, Cognitive Services), and other state-of-the-art AI technologies to deliver innovative solutions.
  • Stay Updated:
    Keep up with the latest advancements in AI/ML technologies and contribute to the team's knowledge base.

[Required Skills]

  • RAG Knowledge Systems:
    Proven experience in building and deploying Retrieval-Augmented Generation (RAG) pipelines.
  • Framework Expertise:
    Hands-on experience with tools and frameworks such as LangChain, LangGraph, or LlamaIndex.
  • AI Toolkits:
    Experience with Cohere, Microsoft AI tools (e.g., Azure OpenAI, Cognitive Services), and other state-of-the-art AI platforms.

[Bonus/Preferred Experience]

  • Agentic AI:
    Familiarity with agentic AI concepts and frameworks for building autonomous AI agents.
  • MCP:
    Knowledge of designing AI systems with memory, context-awareness, and personalization capabilities.
  • Cloud and Deployment:
    Experience with deploying AI models on cloud platforms (e.g., AWS, GCP, Azure) and optimizing for production environments.

[Candidate profile]

  • Experience: 3
  • years of experience in GenAI engineering, with a focus on LLM-related applications.
  • Passion for AI:
    A deep interest in advancing the state of AI and applying it to real-world challenges.
  • Self-Starter:
    Ability to work independently, take ownership of projects, and deliver results in a dynamic environment.
  • Team Player:
    Strong interpersonal skills and a collaborative mindset to work effectively with diverse teams.

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