Algorithm Engineer – Large-Scale Foundation Models (LLM / VLM)

Roles & Responsibilities

Job Summary

We are seeking for AI / ML Engineer with expertise in fine-tuning and deploying Large Language Models (LLMs) and Vision-Language Models (VLMs). The ideal candidate will be experienced in optimizing models using techniques such as LoRA, implementing Retrieval-Augmented Generation (RAG) systems, and developing scalable AI pipelines for diverse applications including text summarization, object detection, and intelligent agents.

Key Responsibilities

• Fine-tune and optimize LLMs / VLMs (e.g., LoRA or other low-rank approaches) to meet project needs, delivering to use-cases such as intent recognition, text summarization, multi-turn dialogue, object detection, image captioning, and more.
• Design and implement Retrieval-Augmented Generation (RAG) systems.
• Build and maintain the toolchain for fine-tuning and deploying LLMs / VLMs; manage training clusters; and deliver efficient inference on both server-side and embedded targets.
• Apply prompt-engineering and agent-based techniques to design, evaluate, and iterate solutions tailored to user scenarios.

Required Skills & Experience

Preferred Qualifications

Tell employers what skills you have

Deep learning

Pipelines

Natural Language Processing

Artificial Intelligence

Computer Vision

User Scenarios

PyTorch

Python

Java

Linux

C++