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Tencent
Tiempo completo Senior WeChat AI Lab Hybrid Tencent Tower, 29F, Wan Chai, Hong Kong · Hybrid Hong Kong, Hong Kong HKD 600k–950k/year + bonus Este anuncio está pensado para talento nativo en IA : habilidades y herramientas claras para saber si encajas antes de aplicar — y para reducir descartes por desajuste.
4 habilidades 2 herramientas
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Modalidad Hybrid
Ubicación Tencent Tower, 29F, Wan Chai, Hong Kong · Hybrid
Compensación HKD 600k–950k/year + bonus Nivel de experiencia Beneficios Hybrid Wan Chai, annual bonus, MPF. Cómo aplicar Cantonese/Mandarin NLP, RAG, or multimodal assistants with eval harnesses.
Publicada 1 jun 2026
Actualizada 3 ago 2026 Tencent is hiring a Senior Senior LLM Engineer — WeChat AI on the WeChat AI Lab team (Hybrid · Hong Kong, Hong Kong). 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.
Tencent operates WeChat , games, and cloud services — one of Asia's largest AI labs with a flagship office in Wan Chai, Hong Kong .
Senior LLM Engineer (hybrid Hong Kong): Cantonese/Mandarin NLP , RAG assistants , and multimodal features for WeChat ecosystem products.
About Tencent
Hong Kong tower hosts regional AI product and research teams. Models must respect content policies across Greater Bay Area users. Close partnership with Shenzhen engineering hubs. What you will do
Fine-tune LLMs for customer service and mini-program copilots. Build multilingual eval sets for dialect and code-switching. Deploy low-latency inference for mobile chat surfaces. Stack & environment
Python, PyTorch, LangChain, internal MLOps, Kubernetes. Hybrid Wan Chai; Cantonese or Mandarin required. What we look for
5+ years NLP/LLM in consumer products. Right to work in Hong Kong. Python
Production Python for data pipelines, model code, APIs, and automated tests—not notebook-only workflows.
LangChain
Orchestrating LLM chains, tools, and retrieval with observable steps and failure handling.
OpenAI API
Calling frontier APIs with retries, cost controls, prompt versioning, and safety filters.
PyTorch
Training and inference with PyTorch: reproducible experiments, checkpointing, and deployment-minded exports.
Kubernetes Tool
Deploying and scaling model services with health checks, autoscaling, and rollout discipline.
Docker Tool
Containerized services and reproducible dev environments for ML and LLM workloads.
✓ You can show evidence in your application: Cantonese/Mandarin NLP, RAG, or multimodal assistants with eval harnesses. ✓ Several of these show up in recent shipped work—not only on your CV: Python, LangChain, OpenAI API, PyTorch, and Kubernetes. ✓ 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 · Hong Kong, Hong Kong)—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: HKD 600k–950k/year + bonus, benefits in At a glance) and your expectations align. Lo que pide la empresa
Cantonese/Mandarin NLP, RAG, or multimodal assistants with eval harnesses.
Inicia sesión con cuenta candidato para aplicar
Regístrate, añade titular y bio; luego podrás adjuntar enlace o PDF de CV en Mi cuenta antes de aplicar. Así las candidaturas quedan ligadas a tu perfil.
Sugerencias
Talento IA que podría interesarte Perfiles ordenados por solape con habilidades y herramientas de este rol — útil si contratas equipo o comparas candidatos.
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Título
Senior LLM Engineer — WeChat AI
Aplicar Pensado para equipos que contratan personas que trabajan con IA, no solo alrededor.
Los candidatos ven habilidades y herramientas al inicio; recibes candidaturas estructuradas en un solo panel.
Llega a profesionales de IA que buscan roles con expectativas basadas en pruebas.
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