AI Algorithm Engineer Agent Specialization
## Core 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 ## Qualifications 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 • *If you’re passionate about blockchain and decentralized technologies, explore more opportunities in web3 and cryptocurrency careers.** Apply tot his job
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