Job Title: AI Systems Engineer

Role Overview

We are looking for a versatile AI Engineer to bridge the gap between machine learning research and production-ready software. You will be responsible for designing, building, and deploying AI-driven features that are scalable, reliable, and impactful. You aren't just building models; you are building the systems that allow those models to live in the real world.

Key Responsibilities

• Architect AI Solutions: Design and implement end-to-end pipelines for data ingestion, model training, and real-time inference.
• LLM Implementation: Integrate and fine-tune Large Language Models (LLMs) using techniques like RAG (Retrieval-Augmented Generation) and prompt engineering.
• Productionize ML: Transition experimental code (often from Jupyter Notebooks) into modular, tested, and high-performance production code.
• Infrastructure Ma...