Senior Applied AI Engineer

Навыки

• AI-инструменты в работе
• AWS
• GitHub
• Kotlin
• LLM
• Мониторинг и observability
• 152-ФЗ / персональные данные

О компании и продукте

• Senior Applied AI Engineer (#4508484101) - Office/Remote | N-iX
• Senior Applied AI Engineer (#5633)
• Our client is a fast-growing European fintech company in the business spend management space. We're looking for a Senior Applied AI Engineer to design, build and ship customer-facing AI features end-to-end.

Задачи

• Design, build and ship customer-facing AI features end-to-end, including RAG system design (chunking, embedding selection, retrieval, re-ranking) and agentic workflows
• Ship external customer-facing LLM-based features into production, with safe production deployment practices
• Do hands-on evaluation-pipeline and observability work: drift detection, quality monitoring
• Reason independently about retrieval architecture using strong data fluency
• Multiply the output and quality of the squad you join, and share patterns/practice beyond your immediate team so adoption compounds across the organisation
• Embed directly into a client squad as a hands-on Individual Contributor

Требования

• Python (Python-first)
• RAG system design: chunking, embedding selection, retrieval, re-ranking
• Agentic workflows
• safe production deployment
• Proven experience shipping external customer-facing LLM-based features to production (not prototypes)
• Hands-on evaluation-pipeline and observability work: drift detection, quality monitoring
• Data fluency to reason about retrieval architecture independently
• Agent & harness engineering fluency — designing guardrails, context and verification layers for safe, reliable AI-assisted delivery
• concrete evidence of having built/operated this kind of tooling, not just used it
• Comfortable with the client's current daily tools: Claude Code and GitHub Copilot

Будет плюсом

• Specific tooling such as AWS Bedrock, OpenAI APIs, or Langfuse (or comparable eval platforms)
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