Senior Software Engineer - Agentic Search & AI Data Platform

ByteDance

Seattle (WA)

On-site

USD 140,000 - 200,000

Full time

10 days ago

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Job summary

ByteDance in Seattle is seeking engineers to build Agentic Search and Analytics systems that fuse planning, retrieval, reasoning, tool execution, and iterative agentic loops. You will develop multi-source and multimodal search across data, documents, images, audio, and video, and create a unified semantic layer for enterprise data including entities and relationships.

You will also explore self-evolving agents improved by interaction, memory, and historical executions, contributing to a scalable

Qualifications

  • Requires a B.S. in Computer Science, AI, ML, or a related field.
  • Strong coding and data structures/algorithms skills; proficient in Python, Java, C++, or Golang.
  • Familiarity with LLMs, Agents, Search, RAG, and information retrieval concepts.

Responsibilities

  • Build Agentic Search and Analytics systems combining planning, retrieval, reasoning, tool execution, and iterative agentic loops.
  • Develop multi-source and multimodal search across structured data, documents, images, audio, and video.
  • Build a unified semantic layer for heterogeneous enterprise data, including entities, metrics, metadata, and relationships.
  • Explore semantic accumulation and self-evolving agents through interactions, memory, and historical executions.

Skills

Strong coding skills
Algorithms & data structures
Python, Java, C++, or Golang

Education

B.S in Computer Science, AI, ML, or related field

Job description

ByteDance in Seattle is seeking engineers to build Agentic Search and Analytics systems that fuse planning, retrieval, reasoning, tool execution, and iterative agentic loops. You will develop multi-source and multimodal search across data, documents, images, audio, and video, and create a unified semantic layer for enterprise data including entities and relationships.

You will also explore self-evolving agents improved by interaction, memory, and historical executions, contributing to a scalable

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