AI Engineer
AI/Artificial Intelligence Engineering
Mức lương
Khu vực
Tổng quan về công việc và trách nhiệm
RAG Development - Design, build, and optimize end-to-end RAG pipelines (ingestion → indexing → retrieval → reranking → generation). - Integrate and tune vector databases (Pinecone, Weaviate, Milvus, Chroma, etc.). - Improve chunking strategies, embedding quality, and similarity search performance. - Build evaluation pipelines for RAG (precision/recall, context relevance, response quality). Agentic AI / AI Agents - Develop AI Agents using frameworks like LangGraph, AutoGen, or LlamaIndex Agents. - Design multi-agent workflows (planner → executor → evaluator). - Implement tool/function calling, serverless integrations, and dynamic reasoning workflows. Model Context Protocol (MCP) - Design and implement MCP servers exposing tools, APIs, and datasets to LLMs. - Integrate MCP into application stack (frontend ↔ backend ↔ LLM). - Build custom MCP tools (database connectors, internal API tools, scraping tools, etc.). System Architecture & MLOps - Build and maintain inference infrastructure (Docker, Kubernetes, GPU servers). - Implement logging, monitoring, and observability for RAG/Agent pipelines. - Optimize model serving cost and performance (quantization, vLLM, batching, TensorRT, etc.).
Kỹ năng và kinh nghiệm tối thiểu
- Minimum of 3–5 years of experience in advanced analytics, machine learning/deep learning model development, and/or applying AI/GenAI to practical business problems. - Strong proficiency in Python (FastAPI / Flask). NodeJS is a plus. - Practical experience building production-level RAG systems. - Deep understanding of LLMs, embeddings, vector databases, and reranking. - Hands-on experience with RAG/Agent frameworks: LangChain, LlamaIndex, LangGraph, etc. - Familiarity with Docker, Linux, and basic DevOps. - Strong debugging and system thinking skills. - Strong communication and presentation skills, with the ability to clearly explain AI/LLM/RAG concepts to both technical and non-technical audiences. - Ability to deliver AI solution presentations and product demos, effectively explaining system architecture, workflows, and business value. - Fluent oral and written English - Teaching and mentoring mindset, capable of supporting junior engineers and cross-functional teams (PMs, BAs, Sales, Clients) in understanding and applying AI solutions.
Tại sao ứng viên nên làm ở đây
🎯Flexible working regime and health care: - Flexible timekeeping (from 8:00 - 9:00 to 17:30 - 18:30) - Minimum 14 paid leaves per annum for all employees after probation - 01-day remote work per month - A flexitime allowance of 90-180 minutes per month for employees - 01 hour paid leave per day for women having children under 12 months - Social insurance, health insurance, unemployment insurance and MIC care insurance 🎯Transparent and fair benefits: - Saturday & Sunday OFF, Overtime pay is 150%, 200%, 300% as per labor law; - 13th-month salary, Performance Bonus - Bonus Policy: Public holidays (2/9, 30/4, 1/5, 1/1,...); Personal Performances; Excellent Team; Performance bonus in Token of the project;.. - Men’s Day, Women’s Day, Children’s Day, Mid-Autumn Festival and other benefits under the provisions of the company 🎯Dynamic environment and open culture: COMPENSATION & BENEFITS - Year-end party, sports day, yearly company trip and quarterly team building,...with a generous budget - Socialize with colleagues through monthly Happy Hour - Monthly allowance when joining clubs: Soccer, Swimming, Yoga, Music,... - Nice & modern working space with young, dynamic & friendly colleagues and free coffee, tea, drinks,... - Flat, open and sharing culture with friendly management team; outsourcing company with product mindset 🎯Strong learning culture: - Free training courses for technical and soft skills (presentation skills, communication skills, foreign language courses,...) - Account to log in to our online learning system, which contains thousands of valuable lectures (LMS) - Participate in workshops, seminars, tech talk,... with sharing from experts inside and outside the company - Working opportunities with technical gurus who built and operated world-class applications with millions of users.
Ưu tiên có kỹ năng và kinh nghiệm
- Candidates with experience in client training, presales activities, solution presentations, or creating AI educational materials (slides, documentation, demos) are preferred.
Báo cáo cho
Client
Quá trình phỏng vấn
English phonescreen (online) -> 2 technical round
Ứng tuyển vào công việc này
Công việc đã hoàn thành (10)
-
![Check]()
Placement for Export Marketing Leader
-
![Check]()
Placement for Retail Customer Service Representative (Mandarin)
-
![Check]()
Placement for HR Admin cum Accounting
-
![Check]()
Placement for Kế toán tổng hợp
-
![Check]()
Placement for Sales Logistics
-
![Check]()
Placement for Kế Toán Nội Bộ
-
![Check]()
Placement for Kế Toán Nội Bộ
-
![Check]()
Placement for Trợ lý Điều hành - mảng giáo dục
-
![Check]()
Placement for Trợ lý Điều hành - mảng đầu tư
-
![Check]()
Placement for Thủ kho kiêm admin
