Software Engineer - Data Agent & Agentic Search

ByteDance

$153K — $300K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • B.S. in Computer Science, AI, Machine Learning, or equivalent.
  • Strong coding and algorithm skills; proficient in Python, Java, C++, or Golang.
  • Familiar with LLMs, Agents, Search, RAG, and Machine Learning.
  • Excellent problem-solving, learning, and communication skills.
  • Preferred experience in Agentic Search, Data Agents, RAG, or AI Search.
  • Familiarity with Elasticsearch/OpenSearch, Milvus, Faiss, or Qdrant.
  • Experience in tool calling, memory, planning, or agent evaluation.

Responsibilities

  • Build Agentic Search and Analytics systems incorporating planning and retrieval.
  • Develop search systems across structured data, documents, images, audio, and video.
  • Create a unified semantic layer for various enterprise data.
  • Investigate self-evolving agents that learn from feedback and historical data.

Benefits

  • Access to medical, dental, and vision insurance from day one.
  • 401(k) savings plan with company match.
  • Paid parental leave and short-term/long-term disability coverage.
  • Life insurance and wellbeing benefits.
  • 10 paid holidays and 10 paid sick days per year.
  • 17 days of Paid Personal Time with accrual increases by tenure.
Full Job Description
Responsibilities - Build Agentic Search and Analytics systems that combine 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 that continuously improve through interactions, feedback, memory, and historical executions. Qualification Minimum Qualifications - B.S in Computer Science, AI, Machine Learning, or a related field. - Strong coding, data structures, and algorithm skills; proficient in Python, Java, C++, or Golang. - Familiarity with LLMs, Agents, Search, RAG, Information Retrieval, or Machine Learning. - Strong problem-solving, learning, and communication skills. Preferred Qualifications - Experience with Agentic Search, Data Agents, RAG, or AI Search through research, internships, or projects. - Familiarity with Elasticsearch/OpenSearch, Milvus, Faiss, Qdrant, or similar retrieval systems. - Experience with tool calling, MCP, Skills, memory, planning, or agent evaluation. - Experience with semantic layers, knowledge graphs, multimodal retrieval, or large-scale data processing. Job Information 【For Pay Transparency】Compensation Description (Annually) The base salary range for this position in the selected city is $153900 - $300960 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units. Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure). The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

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