We're looking for an AI Engineer with strong background in math, statistics, and programming, who has experience with language models (LLMs) and machine learning.Desirable: Agentic AI framework knowledge.The ideal candidate has previous experience with industry projects using Natural Language Processing (NLP) techniques for unstructured text analysis.Responsibilities: Build end-to-end solutions using LLMs and NLP for unstructured text use cases (extraction, classification, summarization, Q& A).
Design and implement RAG pipelines, including chunking strategies, embeddings, vector search, evaluation, and prompt optimization.Develop AI agent workflows (tool use, planning/execution patterns, guardrails, and memory where applicable).
Deploy models and pipelines via APIs (REST) and integrate them into product workflows.Apply best practices for testing, documentation, CI-friendly code, and Git-based version control.Collaborate with cross-functional teams (data, engineering, product...