AI Algorithm Engineer (Agent Specialization)

CryptoCurrency ICO/Airdrop is building the most advanced AI Agent for the Web3 industry, and they are seeking a core algorithm engineer to architect AI Agent systems and optimize end-to-end RAG pipelines. The role involves implementing LLM training/alignment and deploying scalable solutions to enhance intelligent search and task execution agents.

Responsibilities:

• Develop AI Agent Systems: Build intelligent search and task execution agents using ReAct, planning, and multi-agent frameworks (e.g., LangGraph, Dify, CrewAI)
• Optimize End-to-End RAG Pipelines: Build and refine efficient RAG systems from ingestion, chunking, and embedding to hybrid vector search (OpenSearch), implementing precise grounding and citation
• LLM Training & Alignment: Conduct advanced post-training (SFT, RLHF, continual pretraining) and align models for reliable JSON-schema function calling and external tool usage
• Automated Evaluation & Iteration: Build offline/online evaluation pipelines using synthetic QA, retrieval metrics, and hallucination detection to continuously improve system performance and stability

Requirements:

• Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field
• 3+ years of experience developing AI systems, with a focus on RAG, Agent architectures, or LLM training/optimization
• Proficiency in Python and key ML frameworks (PyTorch/TensorFlow), with experience in distributed training and high-performance inference
• Hands-on, in-depth experience in at least two of the following domains: End-to-end RAG pipeline development and optimization with OpenSearch/vector databases, AI Agent framework development (LangGraph, CrewAI, ReAct), Advanced LLM training (SFT, RLHF, LoRA) and alignment techniques
• Excellent problem-solving and systems thinking skills
• Passion for Web3 and AI is a plus