14 часов назад
Staff Agentic AI Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Agentic AI Engineer (AI): Building a core agentic factory platform that enables customers to define and build customer-specific agents with an accent on modeling enterprise knowledge as structured graphs. Focus on architecting complex agent workflows involving reasoning, tool use, retrieval, and building robust LLM evaluation systems.
Location: Remote (Canada)
Company
is an AI company focused on building enterprise automation and agentic AI platforms for brand interactions.
What you will do
- Design and implement production-grade AI agentic systems and workflows involving reasoning, tool use, and retrieval.
- Architect and build comprehensive LLM evaluation systems, including LLM-as-judge workflows and regression testing.
- Develop RAG and embedding-based capabilities to facilitate enterprise knowledge access and automation.
- Build scalable Python services and platform components deployed within AWS cloud environments.
- Partner with product and engineering teams to translate emerging AI capabilities into reliable platform features.
- Establish engineering best practices for the continuous optimization of agentic systems.
Requirements
- Bachelor’s or Master’s degree in a quantitative field (Computer Science, Statistics, Engineering, or Mathematics).
- 5-7+ years of experience in AI/ML engineering, applied machine learning, or NLP.
- 2+ years of hands-on experience building production LLM or AI agent systems.
- Proven experience with LangGraph, LangChain, or similar agent orchestration frameworks.
- Strong Python engineering skills and experience deploying scalable software in AWS.
- Must be based in or have authorization to work in Canada
Nice to have
- Experience building or utilizing knowledge graphs for enterprise knowledge modeling and reasoning.
- Experience with enterprise automation platforms or customer experience (CX) systems.
- Familiarity with security, compliance, and governance requirements for enterprise AI systems.
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