3 дня назад
Lead AI / RAG Engineer: Self-Hosted Knowledge Platform
65 - 90$
Вакансия из Telegram канала - Мэтч & Сопровод
Покажет вашу совместимость и напишет письмо
Описание вакансии
TL;DR
Lead AI / RAG Engineer: Self-Hosted Knowledge Platform (AI/RAG): Leading the architecture and implementation of a production knowledge platform with an accent on document ingestion, ACL-aware retrieval, hybrid search, and open-weight model serving. Focus on building evaluation and observability systems, benchmarking inference deployments, and ensuring production reliability through cloud infrastructure and CI/CD.
Lead AI / RAG Engineer: Self-Hosted Knowledge Platform
Eventum AI
65 to 90 USD Gross per hour
Remote
Eventum AI builds production-grade LLM, RAG, agent, and document-intelligence systems.
Responsibilities:
• Lead architecture and implementation of a production RAG knowledge platform
• Build ingestion for Google Workspace, PDFs, scans, tables, and images
• Implement ACL-aware retrieval, hybrid search, reranking, and citation-backed generation
• Deploy and benchmark open-weight models with vLLM or similar
• Build evaluation, observability, CI/CD, and production handoff
Requirements:
• 6+ years of software/ML engineering experience
• Strong production LLM/RAG and Python/backend experience
• Experience with embeddings, vector search, reranking, and document pipelines
• Experience serving open-weight LLMs with vLLM, SGLang, Triton, TGI, or similar
• Strong cloud/infrastructure skills: Docker, Terraform/Kubernetes, or CI/CD
• Experience with LLM evaluation and production reliability
Eventum AI
65 to 90 USD Gross per hour
Remote
Eventum AI builds production-grade LLM, RAG, agent, and document-intelligence systems.
Responsibilities:
• Lead architecture and implementation of a production RAG knowledge platform
• Build ingestion for Google Workspace, PDFs, scans, tables, and images
• Implement ACL-aware retrieval, hybrid search, reranking, and citation-backed generation
• Deploy and benchmark open-weight models with vLLM or similar
• Build evaluation, observability, CI/CD, and production handoff
Requirements:
• 6+ years of software/ML engineering experience
• Strong production LLM/RAG and Python/backend experience
• Experience with embeddings, vector search, reranking, and document pipelines
• Experience serving open-weight LLMs with vLLM, SGLang, Triton, TGI, or similar
• Strong cloud/infrastructure skills: Docker, Terraform/Kubernetes, or CI/CD
• Experience with LLM evaluation and production reliability
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →
Текст вакансии взят без изменений
Источник -
