- Work directly with customers to understand their technical requirements, architecture, and use cases.
- Help customers integrate Querit Search API into AI agents, RAG systems, research tools, and other AI applications.
- Build demos, prototypes, proof-of-concepts, and reference implementations for customer use cases.
- Debug technical issues across API integrations and help customers move from evaluation to production.
- Advise customers on search quality, latency, retrieval strategies, and integration best practices.
- Partner with Product and Engineering to identify recurring customer needs, technical blockers, and opportunities to improve the product.
- Create reusable sample code, integration guides, demos, and technical documentation.
- Work closely with the business team during technical evaluations, customer onboarding, and deployment.
- Communicate with developers, founders, and engineering teams during customer-facing technical discussions.
- Currently pursuing or recently completed a degree in Computer Science, Engineering, or a related technical field.
- Strong programming skills in Python, TypeScript/JavaScript, or a similar language.
- Experience working with REST APIs, backend systems, or web applications.
- Familiarity with modern AI application stacks, including LLMs, RAG, agents, or retrieval systems.
- Strong problem-solving skills and ability to debug technical issues independently.
- Comfortable communicating directly with customers and explaining technical concepts clearly.
- Strong communication skills and a proactive, ownership-driven working style.
- Able to work full-time and on-site from our Bay Area office for at least 3 months.
- Previous software engineering, AI, or technical internship experience.
- Experience building AI agents, RAG pipelines, search, or retrieval systems.
- Familiarity with frameworks such as LangChain, LlamaIndex, LangGraph, OpenAI SDKs, or similar tools.
- Experience with developer tools, APIs, AI infrastructure, or enterprise software.
- Experience building and shipping side projects, hackathon projects, or production applications.
Skills Required
- Currently pursuing or recently completed a degree in Computer Science, Engineering, or a related technical field
- Strong programming skills in Python, TypeScript, JavaScript, or a similar language
- Experience working with REST APIs, backend systems, or web applications
- Familiarity with modern AI application stacks, including LLMs, RAG, agents, or retrieval systems
- Strong problem-solving skills and ability to debug technical issues independently
- Comfort communicating directly with customers and explaining technical concepts clearly
- Strong communication skills and a proactive, ownership-driven working style
- Availability to work full-time and on-site from the Bay Area office for at least three months
- Previous software engineering, AI, or technical internship experience
- Experience building AI agents, RAG pipelines, search, or retrieval systems
- Familiarity with LangChain, LlamaIndex, LangGraph, OpenAI SDKs, or similar tools
- Experience with developer tools, APIs, AI infrastructure, or enterprise software
- Experience building and shipping side projects, hackathon projects, or production applications
What We Do
Located in the heart of Silicon Valley, Baidu USA is one of the R&D centers of Baidu, China’s largest search engine provider. Baidu USA’s team of elite, world-class researchers and engineers devote their time to tackling the most challenging, change-the-world projects in AI and related fields. Baidu USA is comprised of four groups: Baidu Research US, Intelligent Driving Group US, Baidu USDC and Smart Living Group US. At Baidu USA, we act with the nimbleness of a startup, but as a global company, have access to immense computing resources and data. This makes Baidu USA the best place for those working in AI to see their work developed and potentially deployed to hundreds of millions of users. The name Baidu was inspired by a poem written more than 800 years ago during China's Song Dynasty. Baidu, whose literal meaning is “hundreds of times,” represents a persistent search for the ideal.








