LLM-Driven Recommender & Agentic AI Engineer

Binance; Singapore; On-site; SGD 17,000 - 26,000; Full time

Benefits offered by this job

Work-from-home arrangement

Competitive salary & company benefits

Job summary

Binance Accelerator Program invites interns to design and build LLM-powered recommendations and agentic systems for financial and Web3 scenarios. You will work with senior engineers, researchers, and product teams to explore retrieval, planning, and tool use across a large tool ecosystem.

We welcome current university students and recent graduates to join a fast-paced, collaborative environment with opportunities for networking, development, and hands-on experience in cutting-edge AI

Qualifications

• Strong foundation in ML, NLP, information retrieval, recommendation systems, or large language models.
• Hands-on experience with at least one of: LLMs and post-training, recommender systems/ranking, LLM agents and tool-use, Retrieval-Augmented Generation.
• Familiar with modern LLM techniques such as SFT, RL, prompt engineering, and model evaluation.
• Good understanding of search/recommendation techniques and strong Python and PyTorch skills.

Responsibilities

• Design and develop LLM-powered recommendation and personalization systems for financial/Web3 scenarios.
• Explore agentic AI systems using internal data, APIs, tools, and domain capabilities.
• Develop tool routing, retrieval, planning, and multi-step reasoning for large-scale tools.
• Perform post-training of language models and improve reasoning and task completion.
• Build datasets, benchmarks, and evaluation pipelines for LLMs and agents.
• Prototype and iterate LLM/Agent workflows and integrate into production.

Skills

ML

NLP

Information retrieval

LLM concepts

Python

PyTorch

RAG

Reinforcement learning

Tools

PyTorch

vLLM

SGLang

TensorRT-LLM

Job description

Binance Accelerator Program invites interns to design and build LLM-powered recommendations and agentic systems for financial and Web3 scenarios. You will work with senior engineers, researchers, and product teams to explore retrieval, planning, and tool use across a large tool ecosystem.

We welcome current university students and recent graduates to join a fast-paced, collaborative environment with opportunities for networking, development, and hands-on experience in cutting-edge AI