Mô tả công việc
About Us
We are an AI-first company building next-generation applications that power diverse intelligent systems across multiple domains. Our mission is to apply cutting-edge machine learning and AI research to solve complex real-world problems at scale, from smart cities to super apps and comprehensive intelligent systems.
We're looking for passionate AI Engineers to join our team and work on impactful projects across computer vision, natural language processing, and agentic AI systems. If you're excited about deploying models that make a difference and thrive in an applied research environment, we want to talk to you.
What You'll Do
- Design, train, and deploy AI models in production to support real-time or large-scale applications.
- Lead or contribute to projects involving CV, NLP, and generative AI (e.g., RAG, diffusion models, agent-based systems).
- Collaborate closely with
software engineers, product managers, and researchers to turn ideas into end-to-end AI solutions.
- Build robust pipelines for training, evaluation, and inference using modern ML Ops practices.
- Stay up-to-date with recent advancements in AI/ML and bring innovative approaches to solve challenges across various industry domains.
- Design robust guardrails, input/output validation, and fallback mechanisms to ensure the deterministic quality and safety of AI workflows.
- Implement structured logging, tracing, and monitoring to debug and control complex agent execution paths and state management.
Yêu cầu
What We're Looking For
Core Requirements
1. AI/ML Expertise
- Strong engineering background with proficiency in Python and deep learning frameworks (PyTorch, TensorFlow, Unsloth, or similar).
- Solid understanding of core ML/AI concepts and mathematics (linear algebra, probability, optimization).
- Experience deploying AI/ML models in production environments.
- Familiarity with one or more of the following areas:
- Computer Vision: object/behavior detection, re-identification, segmentation, or diffusion-based models.
- NLP: transformers, RAG pipelines, large language models, conversational AI, or text understanding for diverse applications.
- Agentic AI Systems: tool-using agents, multi-agent coordination, or autonomous workflows.
- Multi-Domain AI: experience adapting AI solutions across different verticals (urban
tech, consumer apps, enterprise systems).
2. Software Engineering Excellence (Flow & Architecture)
- Proficiency in software design patterns, state management, and asynchronous programming (e.g., Asyncio) to control complex execution paths.
- Proven experience in building high-performance APIs (FastAPI, gRPC), microservices integration, and handling concurrency or caching (e.g., Redis) to optimize inference latency.
- Strong ability to design self-correction, retry logic, and exception handling within non-deterministic Generative AI and Agentic pipelines.
Bonus Points
- Experience across multiple domains such as smart cities (traffic analytics, surveillance, sensor data, public safety), consumer applications (recommendation systems, personalization, user experience), or enterprise intelligent systems.
- ML Ops and Infrastructure knowledge: MLflow, W&B, Docker, Kubernetes, cloud compute (AWS, GCP, etc.).
- Exposure to distributed training or handling large-scale data streams (e.g., Kafka).
- Contributions to research papers or open-source ML libraries.
Why Join Us?
- Shape the future of intelligent AI applications across smart cities, super apps, and comprehensive intelligent systems for a top-tier company in the field.
- Work with a passionate team solving meaningful real-world problems.
- Competitive salary and benefits with clear growth paths: Health, social insurances, 13th month salary, Other benefits.
- Opportunities to work on state-of-the-art AI with real-world deployment across multiple high-impact verticals.
- Exposure to diverse technical challenges and the chance to build expertise across various AI application domains.
Quyền lợi
Thưởng
Competitive Salary & Benefits
Đào tạo
Training course and certificates
Khác
The preferences when using the services of the Vingroup
Thông tin khác
NGÀY ĐĂNG
10/07/2026
CẤP BẬC
Nhân viên
NGÀNH NGHỀ
Công Nghệ Thông Tin/Viễn Thông > Data Engineer/Data Analyst/AI
KỸ NĂNG
N/A
LĨNH VỰC
Nghiên cứu
NGÔN NGỮ TRÌNH BÀY HỒ SƠ
Tiếng Anh
SỐ NĂM KINH NGHIỆM TỐI THIỂU
5
QUỐC TỊCH
Người Việt Nam
Xem thêm
Thông tin chung
Nơi làm việc
- TÒA TECHNOPARK, HÀ NỘI
- VP Đồng Khởi, 72 Lê Thánh Tôn, Phường Sài Gòn, Hồ Chí Minh
Cách thức ứng tuyển
Ứng viên nộp hồ sơ trực tuyến bằng cách bấm nút Ứng tuyển bên dưới:
Hạn nộp: 09/08/2026