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AI role · Open offer
Senior AI Developer — NLP & large language models
Baidu
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4 skills 2 tools
Workplace Hybrid
Location Baidu Campus, 10 Shangdi 10th Street, Haidian District, Beijing 100085, China · Hybrid
Compensation CNY 400k–700k/year + bonus Benefits & perks On-campus amenities, hybrid Haidian, annual bonus. How to apply NLP/LLM training or serving project; Mandarin collaboration a plus.
Listed Oct 27, 2026 Baidu is hiring a Senior Senior AI Developer — NLP & large language models on the ERNIE & NLP team (Hybrid · Beijing, China). This is a hands-on role in LLM & generative AI —not a generic “AI enthusiast” post.
You will own LLM features, retrieval, agents, and evaluation end to end: problem framing, offline evaluation, safe rollout, and iteration from production signals. Success is measured with clear metrics (quality, latency, cost, or business KPIs)—not slide decks alone.
**Baidu** is a leading Chinese technology company — search, maps, cloud, and autonomous driving — with frontier **NLP** and **LLM** research through **ERNIE** and PaddlePaddle ecosystems.
Senior AI Developer (Beijing hybrid): ship **LLM applications**, **semantic search**, and **enterprise copilots** on Baidu Cloud with strict latency and compliance requirements in China.
You will work with Mandarin-heavy corpora and multilingual expansion; collaboration with research labs in Haidian is daily.
About Baidu
Founded in Beijing; operates search, AI cloud, smart devices, and Apollo autonomous driving. ERNIE family models and PaddlePaddle framework used across internal and customer products. Haidian campus (Shangdi) is a major engineering and research center. What you will do
Fine-tune and serve LLMs for search, ads, and cloud customer scenarios. Build RAG over licensed corpora with content-safety filters and audit logs. Optimize inference on GPU clusters; profile cost per query at billion-scale traffic. Partner with product on A/B tests and gradual traffic ramps. Stack & environment
Python, PyTorch, PaddlePaddle, NLP, LangChain-style orchestration, Kubernetes. Hybrid Beijing Haidian; Mandarin used for team sync and documentation. What we look for
5+ years NLP/LLM engineering; large-scale search or ads a strong plus. Mandarin professional proficiency; English for research reading. Eligible to work in China. Python
Production Python for data pipelines, model code, APIs, and automated tests—not notebook-only workflows.
PyTorch
Training and inference with PyTorch: reproducible experiments, checkpointing, and deployment-minded exports.
NLP
Text pipelines: tokenization, fine-tuning, evaluation, and guardrails for user-facing language features.
LangChain
Orchestrating LLM chains, tools, and retrieval with observable steps and failure handling.
Docker Tool
Containerized services and reproducible dev environments for ML and LLM workloads.
Kubernetes Tool
Deploying and scaling model services with health checks, autoscaling, and rollout discipline.
✓ You can show evidence in your application: NLP/LLM training or serving project; Mandarin collaboration a plus. ✓ Several of these show up in recent shipped work—not only on your CV: Python, PyTorch, NLP, LangChain, and Docker. ✓ You have owned LLM features, retrieval, agents, and evaluation in production: debugging live issues, running postmortems, and iterating from real user or business signals. ✓ You are comfortable with the hybrid rhythm (Hybrid · Beijing, China)—onsite collaboration when it matters, deep work when remote. ✓ You explain trade-offs (quality, cost, latency, safety) in plain language—with numbers or examples, not buzzwords. ✓ You read the full listing (comp: CNY 400k–700k/year + bonus, benefits in At a glance) and your expectations align. What the employer asked for
NLP/LLM training or serving project; Mandarin collaboration a plus.
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Senior AI Developer — NLP & large language models
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