Attractive income.
Being recognized, fair compensation.
Open and honest culture.
Summary: We are building a modern data platform and data warehouse to support large-scale business operations in real estate, finance, and analytics. We are looking for a Senior AI Engineer to develop practical AI solutions using Large Language Models (LLMs) and enterprise data. The role focuses on building production-ready AI applications, not research or experimental models. This position is ideal for engineers who enjoy turning AI technologies into real business systems.
Key Responsibilities:
AI Application Development: Design and develop AI-powered features using modern LLM technologies. Build Retrieval-Augmented Generation (RAG) pipelines and AI assistants. Integrate AI capabilities into backend systems and internal tools. Implement prompt engineering and context management strategies.
Data & Retrieval Integration: Work with structured and unstructured data from internal systems. Build embedding pipelines and vector search solutions. Integrate AI with databases, APIs, and data warehouse systems. Design semantic search and knowledge retrieval mechanisms.
System Integration & Production Deployment: Deploy AI services into production environments. Optimize performance, latency, cost, and reliability. Implement logging, monitoring, and basic observability. Collaborate with backend and data engineering teams.
What You Will Build: AI-powered internal tools and assistants. Intelligent search and knowledge systems. AI features integrated with enterprise data platforms. Solutions that support analytics and business operations.
AI, Database, API, Python, Software Architecture, LLM
Required AI Skills: Experience using LLM APIs (e.g., OpenAI, Claude, Gemini, or similar). Practical experience with RAG architectures. Understanding of embeddings and vector search. Experience in prompt engineering and context design.
Preferred Skills (Nice to Have): Experience with frameworks such as LangChain, LlamaIndex, or LangGraph. Experience with vector databases (Qdrant, Pinecone, Weaviate, etc.). Familiarity with search engines (OpenSearch or Elasticsearch). Experience deploying applications using Docker or cloud platforms. Experience working with analytics or data warehouse systems.
Desired Mindset & Working Style: We are looking for candidates who enjoy building practical AI systems that solve real problems. Focus on delivering production-ready solutions rather than prototypes. Can work with evolving requirements and incomplete specifications. Stay up to date with modern AI tools and technologies. Communicate clearly and collaborate effectively with cross-functional teams.
Required Qualifications and Skills: Bachelor's degree in Computer Science, Engineering, or related field. Equivalent practical experience is also acceptable. Minimum 3 years of experience in
software engineering. At least 1 year of hands-on experience building AI or LLM-based applications. Strong programming skills in Python. Experience building backend services, APIs, or distributed systems. Familiarity with SQL and working with databases.
Lương thỏa thuận theo năng lực và kinh nghiệm.
Thưởng hiệu suất và thưởng theo kết quả kinh doanh.
Thưởng tháng 13 và thưởng lễ, Tết.
Xét tăng lương định kỳ.
Được tham gia đầy đủ bảo hiểm xã hội, bảo hiểm y tế, bảo hiểm thất nghiệp theo quy định.
Bảo hiểm sức khỏe bổ sung.
Khám sức khỏe định kỳ hằng năm.
Phụ cấp ăn trưa và phụ cấp đi lại.
Hỗ trợ thiết bị làm việc.
Môi trường làm việc chuyên nghiệp và thân thiện.
Được đào tạo nội bộ và đào tạo nâng cao chuyên môn.
Cơ hội thăng tiến rõ ràng.
Tham gia các hoạt động team building và du lịch công ty.
Nghỉ phép năm theo quy định và thêm ngày nghỉ theo thâm niên.
Thời gian làm việc linh hoạt (nếu áp dụng).
Hỗ trợ chi phí học tập và chứng chỉ chuyên môn.
Quà tặng sinh nhật và các dịp đặc biệt.
Chính sách phúc lợi cho nhân viên gắn bó lâu dài.
We iterate constantly. There's no such thing as the best version of anything, just a constant streams of improvements and tests.
We move fast, really fast. Major changes can be executed in a few days, many times just a few hours.
We have a data-informed mindset. We try to use data to inform our decision as much as possible.
We are independent. Most of the time, your team will not need technical assistance from other teams.
We take risks. We're not afraid to challenge "best practices".
Open communication with passionate and experienced members.
Challenging working environment.
Social insurance, unemployment insurance under the Insurance Law
Internal events to bond our mutual understanding & spirit such as team building, team outing, Citic's birthday, Year-end party...
Generous special Employee Stock Ownership Plan (ESOP), which is approved by the Board of Director.
40 flexible working hours per week from Monday to Friday.
Young, dynamic working environment with strong startup culture.
Training and career development opportunities.
Company team building, annual Birthday party and other events: New Year, X-mas,...
Support fee for parking, marriages, child births, hospitalization.
Sport clubs (Running, Badminton, Soccer).