AI Engineer

·    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