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Veeva Systems

Builds cloud software for life sciences

Senior Engineer - Back End

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeBeijing, ChinaNo salary listed

About the Job

Requirements

  • A bachelor's degree or higher in Computer Science or a related field is required.
  • At least 5 years of software development experience is required.
  • Proven experience in SaaS platform software design and development is required.
  • Demonstrated experience designing large-scale distributed systems is required.
  • Hands-on project experience with AI Agents or LLM applications and proficiency in at least one mainstream framework, such as LangChain, LangGraph, LlamaIndex, or AutoGen, are required.
  • Familiarity with RAG, prompt engineering, Function Calling, and vector databases is required.
  • Knowledge of common data structures and algorithms is required.
  • Proficiency in relational database design and development is required.
  • A deep understanding of object-oriented design principles is required.
  • Mastery of at least one mainstream programming language, such as Python, Java, or C++, is required.
  • Familiarity with web development frameworks, such as Django, Flask, or Spring, is required.
  • The role requires using Python for development.

Responsibilities

  • Design, improve, and implement SaaS platform architecture, including technology selection.
  • Analyze business requirements and provide implementation solutions.
  • Work with front-end engineers, product managers, and quality assurance engineers to ensure product quality and development progress.
  • Improve product user experience based on business understanding and use technology to drive business development.
  • Design and deploy LLM-based AI Agents, integrating Agent capabilities into core business scenarios to increase product intelligence.
  • Build core Agent capabilities, including Function Calling/Tool Use, memory, planning, and multi-Agent collaboration; build and optimize RAG pipelines, prompt engineering, and related workflows.
  • Track and research emerging technologies, including LLMs and AI Agents, and apply them to product development.

Desired Qualifications

  • Knowledge of Agent ecosystem protocols such as MCP (Model Context Protocol) is a plus.
  • Knowledge of the CRM or life sciences domain is desirable.

About the Company

Veeva Systems

Builds cloud software for life sciences

Veeva Systems builds cloud software and data products for pharmaceutical, biotechnology and other life sciences companies. Its applications support clinical trials, regulatory submissions, quality management, drug safety and commercial teams that work with healthcare professionals. Teams use the software to organize documents, track records and coordinate regulated work across departments on Veeva's Vault platform. Veeva earns revenue from subscriptions to its software and data products, alongside implementation, consulting and other professional services. Founded in 2007, Veeva Systems is headquartered in Pleasanton, California, United States.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Pleasanton, CA
Founded
2007

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