AI/RAG engineer

Build AI search agents, RAG pipelines, and optimize vector indexes in production environments. Implement grounding and citation, automate evaluation, and orchestrate external tools. Proven track record in building and optimizing end-to-end RAG pipelines.

Requirements

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• 3+ years of experience in developing AI systems, with a focus on retrieval-augmented generation (RAG).
• Proven track record in building and optimizing end-to-end RAG pipelines.
• Experience with AI search agent development using frameworks like ReAct, LangGraph, Dify, or CrewAI.
• Hands-on experience with OpenSearch or similar vector search technologies.
• Proficiency in Python and relevant machine learning frameworks (e.g., PyTorch, TensorFlow).
• Strong understanding of data ingestion, chunking, embeddings, and hybrid vector search techniques.
• Experience with monitoring and managing production environments.
• Knowledge of grounding and citation techniques in AI-generated content.
• Familiarity with synthetic QA datasets and evaluation metrics.