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AI Engineer (Working in Da Nang)

SotaTek

Quận Hải Châu, Đà Nẵng, Vietnam
15 - 35 triệu1 - 3 yearsĐăng gần đâyNguồn: Glints
Ứng tuyển trên Glints

Tổng quan công việc

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.

Computer Vision & Multimodal AI: Support the development of multimodal AI applications by integrating Large Language Models (LLMs) with Computer Vision models.

Contribute to Computer Vision use cases such as Image Segmentation, image understanding, and intelligent document processing where applicable.

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 chính

PythonSQLtensorflowmlopspytorchdata engineeringartificial intelligencenatural language processing nlpdeep learningenglish languagerestful apicomputer visionhugging facegenaimachine learninggitaidocker

Yêu cầu

Technical foundation: 2-4 years experience with AI Engineer AI knowledge: Computer Vision, Speech AI (STT, TTS, Voice AI), Generative AI (Image, Video), Predictive Machine Learning, MLOps / LLMOps Data skills: Experience with data preprocessing, feature engineering, and model evaluation Experience with building RESTful APIs and working with SQL/NoSQL databases Problem-solving aptitude: Ability to approach complex problems methodically and develop creative solutions Continuous learning mindset: Enthusiasm for staying current with AI research and implementing new techniques Version control: Proficiency with Git and collaborative development workflows Fluent in English or Japanese is a plus Compensation &

Quyền lợi

Flexible Hours

Lifetime Savings

Laptop Provided

Remote work options

Free Meals

Training/Certification

Team-building events

Career Path

Insurance

Wellness Facilities

Employee Award

Annual Leave

Thông tin bổ sung

Tín hiệu vai trò

Data Analyst, Kỹ sư

Ngôn ngữ

Tiếng Anh, Tieng Nhat