Senior - AI Engineer
Trung tâm Công nghệ Thông tin
Hồ Chí Minh
26-ITC-0165
MoMo is Vietnam’s leading financial super-app, redefining how millions manage their money through AI-driven innovation. Our Big Data & AI Team doesn’t just support the product—we are the product. From hyper-personalization and eKYC to fraud detection, AI is the heartbeat of MoMo.
As a Senior AI Engineer, you will lead the evolution of our Generative AI ecosystem. You won’t just be prompting LLMs; you’ll be architecting sophisticated Agentic workflows and productionizing state-of-the-art models that serve millions of users in real-time.
Mô tả công việc
- Lead Architecture: Design and deploy scalable Agentic frameworks and Generative AI solutions that integrate seamlessly into the MoMo ecosystem;
- Production-Grade AI: Build and maintain robust LLM-based products using SOTA techniques (RAG, fine-tuning, and prompt orchestration) and open-source libraries;
- Cross-Functional Leadership: Partner with Data Scientists, Backend Engineers, and Product Managers to bridge the gap between experimental models and high-availability production systems;
- Engineering Excellence: Write clean, high-performance production code and establish best practices for LLM Ops (CI/CD for models, versioning, and monitoring);
- Evaluation & Optimization: Define rigorous evaluation metrics (faithfulness, relevancy, latency) and conduct A/B experiments to iterate on model performance;
- Scale: Optimize AI systems to handle high-concurrency traffic while maintaining low latency.
Yêu cầu công việc
- Experience: 3+ years in professional software/AI engineering, with a deep focus on Voice Agentic and Generative AI;
- LLM Mastery: Hands-on experience with model families like Llama 3, Qwen 2, GPT-4, and BERT. You understand their architectures, tokenization nuances, and limitations;
- System Design: Proven track record of building Agentic systems or Voice-AI from scratch—taking them from preprocessing to real-world drift monitoring;
- Tech Stack: Mastery of Python and deep learning frameworks (PyTorch or TensorFlow). Experience with vector databases (Milvus, Pinecone, or similar) is a plus;
- Mindset: A product-oriented engineer who cares about the "Why" as much as the "How."
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