{"slug": "forward-deployed-engineer-intern-baidu", "title": "Forward Deployed Engineer Intern — Baidu", "summary": "Baidu posted a Forward Deployed Engineer Intern opening at its Mountain View, CA office, an on-site, full-time role lasting 3 months with the possibility of extension. The intern will help customers integrate Baidu's Querit Search API into AI agents, RAG systems, and research tools, and will build demos, prototypes, and reference implementations. The posting lists no published salary, and the job board notes that 354 of 456 RAG/Retrieval roles in the United States on its board publish pay, with a median of $214k.", "body_md": "# Forward Deployed Engineer Intern\n\n- Salary\n- Not published\n- Location\n- Mountain View, CA\n- Work type\n- On-site\n- Level\n- Intern\n- Posted\n- today\n- Verified live\n- today\n\n[Apply on company site (opens in new tab)](https://job-boards.greenhouse.io/baidu/jobs/8197142)\n\nFiled under[LLM Engineer](/llm-engineer-jobs/)[RAG / Retrieval](/rag-engineer-jobs/)\n\n354 of 456 [RAG / Retrieval roles in the United States on this board](/rag-engineer-jobs/) publish pay; their median is **$214k**.\n\nJob Title: Forward Deployed Engineer Intern\n\nLocation: Mountain View, CA\n\nEmployment Type: Full-time Internship\n\nInternship Duration: 3 months, with possibility to extend\n\nWork Arrangement: On-site, Monday - Friday\n\nAbout the Role\n\nJoin the team at Baidu USA and help developers and companies build AI applications powered by real-time web search.\n\nWe’re looking for a Forward Deployed Engineer Intern who can bridge the gap between our technology and the customers building with it. You’ll work directly with customers to understand their use cases, design solutions, build prototypes, troubleshoot integrations, and help move applications from early testing to production.\n\nThis is a full-time, on-site internship based in the Bay Area. The initial internship period is 3 months, with the possibility to extend based on performance and business needs.\n\nThis is a highly hands-on engineering role. You should be comfortable writing code, working with APIs, debugging technical issues, and communicating directly with customers. You’ll also work closely with our Product, Engineering, and Business teams to bring customer feedback back into the product.\n\nWhat You’ll Do\n\nWork directly with customers to understand their technical requirements, architecture, and use cases.\n\nHelp customers integrate Querit Search API into AI agents, RAG systems, research tools, and other AI applications.\n\nBuild demos, prototypes, proof-of-concepts, and reference implementations for customer use cases.\n\nDebug technical issues across API integrations and help customers move from evaluation to production.\n\nAdvise customers on search quality, latency, retrieval strategies, and integration best practices.\n\nPartner with Product and Engineering to identify recurring customer needs, technical blockers, and opportunities to improve the product.\n\nCreate reusable sample code, integration guides, demos, and technical documentation.\n\nWork closely with the business team during technical evaluations, customer onboarding, and deployment.\n\nCommunicate with developers, founders, and engineering teams during customer-facing technical discussions.\n\nWhat We’re Looking For\n\nCurrently pursuing or recently completed a degree in Computer Science, Engineering, or a related technical field.\n\nStrong programming skills in Python, TypeScript/JavaScript, or a similar language.\n\nExperience working with REST APIs, backend systems, or web applications.\n\nFamiliarity with modern AI application stacks, including LLMs, RAG, agents, or retrieval systems.\n\nStrong problem-solving skills and ability to debug technical issues independently.\n\nComfortable communicating directly with customers and explaining technical concepts clearly.\n\nStrong communication skills and a proactive, ownership-driven working style.\n\nAble to work full-time and on-site from our Bay Area office for at least 3 months.\n\nNice to Have\n\nPrevious software engineering, AI, or technical internship experience.\n\nExperience building AI agents, RAG pipelines, search, or retrieval systems.\n\nFamiliarity with frameworks such as LangChain, LlamaIndex, LangGraph, OpenAI SDKs, or similar tools.\n\nExperience with developer tools, APIs, AI infrastructure, or enterprise software.\n\nExperience building and shipping side projects, hackathon projects, or production applications.", "url": "https://wpnews.pro/news/forward-deployed-engineer-intern-baidu", "canonical_source": "https://frontierroles.com/jobs/baidu-forward-deployed-engineer-intern-ee4737/", "published_at": "2026-09-11 19:17:22+00:00", "updated_at": "2026-09-12 03:57:54.934666+00:00", "lang": "en", "topics": ["ai-products", "ai-tools", "large-language-models", "ai-agents"], "entities": ["Baidu", "Baidu USA", "Querit Search API", "Mountain View", "LangChain", "LlamaIndex", "LangGraph", "OpenAI SDKs"], "alternates": {"html": "https://wpnews.pro/news/forward-deployed-engineer-intern-baidu", "markdown": "https://wpnews.pro/news/forward-deployed-engineer-intern-baidu.md", "text": "https://wpnews.pro/news/forward-deployed-engineer-intern-baidu.txt", "jsonld": "https://wpnews.pro/news/forward-deployed-engineer-intern-baidu.jsonld"}}