AI Engineer (AI Agent / LLM)

  • Alibaba Group
  • Full-time
  • Tehran
Apply for this Position

Job Description

We are looking for a passionate AI Engineer with expertise in AI Agents, Natural Language Processing (NLP) and Large Language Models (LLMs) to join our team(one of alibabagroup business). You will play a central role in developing and fine-tuning AI models for our AI-powered Legal Assistant, focusing on tasks such as RAG, NER, text classification, information retrieval, and legal document understanding.
This is a unique opportunity to work on cutting-edge AI applied to real-world judicial and legal challenges.

Responsibilities:

  • Design, train, and fine-tune NLP/LLM models for legal and judicial text.
  • Work with annotated legal datasets to develop high-quality models for NER, summarization, and classification.
  • Collaborate with Data Engineers to prepare and preprocess large-scale text datasets.
  • Integrate models into production systems in collaboration with Backend and MLOps engineers.
  • Evaluate models using robust metrics and continuously improve their performance.
  • Build AI Agents and MCP servers to enable autonomous task execution.
  • Research and experiment with state-of-the-art methods in transformers, RAG, embeddings, and LLM fine-tuning.
  • Ensure model fairness, reliability, and compliance with privacy/security requirements.

Requirements:

  • Strong programming skills in Python (PyTorch, TensorFlow, Hugging Face Transformers).
  • Solid experience in NLP tasks (NER, text classification, summarization, semantic search).
  • Hands-on experience with LLM fine-tuning and prompt engineering.
  • Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS, Qdrant).
  • Understanding of retrieval-augmented generation (RAG) architectures.
  • Knowledge of MLOps practices for deploying and monitoring ML models.
  • At least 3 years of experience in NLP, ML, or AI engineering roles.

 

فرآیند استخدام در علی‌بابا

هر فرصت شغلی، یک فرصت ماجراجویی

  • ارسال رزومه
  • بررسی رزومه
  • ارزیابی تخصصی
  • ارزیابی منابع‌انسانی
  • گفت و گو با مدیر ارشد
  • ارزیابی نهایی
  • دعوت به همکاری
  • شروع ماجراجویی