Junior/mid-level AI/ML engineer specializing in Retrieval-Augmented Generation (RAG) to support AI capabilities within an emerging MLOps platform. The engineer helps architect and implement reusable RAG pipelines, including document ingestion and processing, embedding models and vector databases, retrieval and LLM-based generation, and evaluation of response quality. Works with software developers, AI/ML engineers and systems architects to integrate these capabilities into a secure, scalable platform.
Requirements
3-5 years experience; Go, Python, JavaScript, Vue.js; data storage/retrieval (databases, S3, VAST); foundational ML lifecycle knowledge; CPU/GPU use for model training; SDK/API integration; BS in engineering, scientific or technical discipline required. Preferred: RAG pipeline components, Docker, MongoDB/PostgreSQL/graph DBs.
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