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

## QualificationsBachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field3+ years of experience developing AI systems, with a focus on RAG, Agent architectures, or LLM training/optimizationProficiency in Python and key ML frameworks (PyTorch/TensorFlow), with experience in distributed training and high-performance inference
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