· Bachelor’s degree in information technology, Computer Science, Finance, or related field.

· Minimum 3+ years of experience with LLMs; hands-on expertise with vLLM and model quantization (AWQ/GPTQ).

· Strong proficiency in Apache Airflow for scheduling complex data and AI pipelines.

· Experience with RAGFlow (or similar deep-document RAG frameworks) and vector databases.

· Experience to build multi-agent systems that use tools and external APIs to complete multi-step tasks.

· Advanced Python, Docker, and Kubernetes

·Experience with AI observability tools to track latency, cost, and hallucination rates

AI Engineer

類別