Tuyển dụng AI Engineer (Product, Agentic, LLM, NLP...) tại Hà Nội

1. Build & ship production AI systems
- Architect, fine-tune, and deploy machine learning / deep learning/ LLMs models for real business use cases — owning the full lifecycle from prototype to production;
- Set quality bars for stability, latency, accuracy, and scalability under VN merchant traffic patterns;
- Define rollback / canary strategies; ensure graceful degradation when models fail.

2. LLM & Agentic AI workflows
- Design and build multi-agent systems using LLM orchestration frameworks (LangGraph, LangChain, or equivalent);
- Implement RAG pipelines, knowledge bases, tool use, and memory for agents that operate across merchant workflows;
- Lead prompt engineering, evaluation frameworks, and continuous improvement loops (Langfuse / custom eval pipelines);
- Build conversational AI (chatbots, voice assistants, sales assistants) that natively understand the Vietnamese commerce context.

3. Computer Vision & Document AI
- Develop and productionize models for OCR, image-to-order parsing, receipt understanding, and product image generation/scanning;
- Tune detection / OCR pipelines for low-quality mobile images typical of merchant uploads.

4. NLP & information extraction
- Build search, text classification, intent detection, and structured information extraction services.

5. MLOps & LLMOps & production reliability
- Build and maintain ML pipelines: data ingestion, feature stores, model registry, versioning, A/B testing;
- Set up monitoring for model drift, hallucination rates, conversion impact, Prompt versioning, eval, cost, and latency. Drive cost optimization for inference (LLM API spend, GPU utilization).

6. Cross-functional collaboration & leadership
- Partner with Product Managers and Business Analysts to translate VN merchant pain points into AI solutions (not just features);
- Work with Data Engineers on data pipelines, quality evaluation, and feature analysis;
- Review code, mentor junior engineers, and contribute to AI engineering standards;
- Evaluate emerging models, frameworks, and partnerships (open-source agent frameworks, foundation model providers) and recommend adoption.

Yêu cầu ứng viên

Must have:
- Min 3 years of hands-on ML / AI engineering experience, with 2+ years shipping AI features to production at scale;
- Strong Python and PyTorch/TensorFlow; comfortable with FastAPI, async patterns, and modern backend infrastructure;
- Proven track record building LLM applications in production — RAG, agent orchestration, prompt engineering, eval — with at least one significant project shipped;
- Experience with at least 2 of: Computer Vision, OCR / document AI, NLP, conversational AI;
- Solid grasp of MLOps: model registry, monitoring, A/B testing, observability;
- Ability to read papers, prototype quickly, and translate research into production code.

Nice to have:
- Experience with LangGraph, LangChain, or comparable agent frameworks;
- Production experience with multi-agent systems or autonomous workflows (not just chatbots);
- Experience with Langfuse, Weights & Biases, or similar for LLM observability and evaluation;
- Domain knowledge in commerce, POS, retail, or F&B operations;
- Experience optimizing inference cost (model quantization, prompt compression, caching strategies).

Quyền lợi được hưởng

- Top salary range in the market (willing to negotiate);
- Compensation, a 13th month salary depending on employee’s performance;
- Performance bonus (up to 2-month salary);
- Social – Health – Insurance paid fully. Healthcare: Annual health check-up, Premium Health Insurance (from level senior according to the company's regulations);
- Advantageous and yield benefits, other benefits such as holiday vacations, benefits for employee’s relatives;
- Unlimited chance of being promoted based on employee’s performance.