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Software Engineer - LLM Applications and AI Agents

TikTok · San Jose, California, United States of America

Software DevelopmentExternal listingfull-timeRecently

About The Role

Join us in pushing the boundaries of AI technology and creating the next generation of intelligent systems that will transform data platforms. We are seeking a highly skilled and innovative Software Engineer to join our cutting-edge Agentic Engine team. As part of a division of the data platform team which focuses on LLM adoption, you will have the opportunity to work with state-of-the-art AI technologies and design architectures that apply LLMs to real-world industry challenges in data development platform areas. This role puts you at the forefront of AI innovation, shaping the future of intelligent systems.

Responsibilities

  • Stay abreast of the latest advancements in AI technologies, particularly in LLMs, Retrieval-Augmented Generation (RAG), and AI agents
  • Develop expertise in data development platforms and drive technological innovation within the team
  • Design and implement sophisticated architectural solutions for integrating LLM technology into business applications
  • Collaborate with cross-functional teams to create scalable and efficient AI-powered systems
  • Contribute to the development of AI agents capable of complex reasoning and task execution

Minimum Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related technical field;
  • Minimum of 3 years of experience in software engineering, with a focus on AI/ML applications
  • Demonstrated experience in complex system design and architecture, particularly in AI-driven environments
  • Strong proficiency in at least one of the following programming languages: Python, Java, C++, Golang, or Rust
  • Experience with big data processing and distributed computing systems
  • Excellent problem-solving skills and ability to think creatively in a fast-paced environment
  • Strong communication skills and ability to collaborate effectively in a team setting

Preferred Qualification

  • Solid understanding of machine learning concepts, natural language processing, and deep learning frameworks
  • Advanced degree preferred

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