Mô tả công việc
You'll work on agent / multi-agent AI systems for customer experience and personalization, including:
- Designing and implementing Agentic AI pipelines - tool-calling, planning, memory, and multi-step workflows that power use cases like personalized product recommendation, beauty consultation, conversational shopping, and proactive customer engagement.
- Working with CDP & customer data - leveraging unified customer profiles, purchase history, browsing behavior, and segmentation from the CDP; managing logs, user feedback, synthetic data, and evaluation traces to drive iteration and improvement.
- Writing RAG / finetuning / post-training code - implementing RAG over product catalogs and customer knowledge, finetuning, and post-training components (e.g., rerankers, evaluators, safety/brand-guardrail layers) optimized for throughput, latency, and cost at eCommerce scale.
- Integrating agents with real systems - connecting agents to internal services (CDP, CRM, recommendation engines, order/product systems) and external APIs; embedding them into real customer touchpoints across web, app, and messaging channels.
- Evaluating agents on real customer tasks - measuring success rate, conversion impact, latency, robustness, and behavior in production; closing the loop between evaluation, debugging, A/B testing, and improvements to deliver measurable business value.
Yêu cầu
- 2+ years working with Agentic AI / LLM agents / multi-step tool systems, or closely related experience.
- Strong coding skills in Python (or similar) and experience building backend or ML pipelines.
- Comfortable working with APIs, services, and internal/customer data sources; familiarity with customer data platforms, CRM, or personalization systems is a plus.
- Experience with streaming data and modern LLM/agent frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel) is a strong plus.
- Experience in eCommerce, retail, or customer-facing products is preferred.
Quyền lợi
Social Insurance
Working equipment and statutory benefits in accordance with company policy.
Competitive salary with clear performance review mechanism.
Learning-driven environment with clear growth potential.
Thông tin khác
Loại công việc
Nhân viên toàn thời gian
Cấp bậc
Nhân viên
Học vấn
Cử nhân
Kinh nghiệm
2 - 5 năm kinh nghiệm
Giới tính
Bất kỳ
Ngành nghề
CNTT - Phần mềm
Thông tin chung
Nơi làm việc
Cách thức ứng tuyển
Ứng viên nộp hồ sơ trực tuyến bằng cách bấm nút Ứng tuyển bên dưới:
Hạn nộp: 17/07/2026