Staff AI Engineer

Vendelux

United States Posted September 23, 2026

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Remote Full-time Mid level
Salary Range

$250,000 - $300,000

Job Description

Join Vendelux as a Staff AI Engineer, where you will research, build, and ship AI-powered product capabilities that enhance user workflows and drive business value. You will establish AI as a foundational layer of the Vendelux product experience, focusing on agentic systems, LLMs, data, and scalable AI infrastructure. Your responsibilities will include translating business problems into AI solutions, owning the architecture and integration of chat capabilities, and designing underlying systems for AI agents. You will work closely with product, data science, and application engineering teams, and serve as a thought partner to leadership on the AI roadmap.

  • Research, build, and ship AI-powered product capabilities that improve user workflows and drive measurable business value.
  • Establish AI as a foundational layer of the Vendelux product experience, focusing on agentic systems, LLMs, data, and scalable AI infrastructure.
  • Translate business problems into AI solutions, own the architecture and integration of agentic chat capabilities throughout the Vendelux platform.
  • Proven track record of shipping user-facing features with measurable impact
  • Experience with modern AI frameworks, such as HuggingFace and LangChain, and designing data pipelines using Airflow, Dagster, or equivalent
  • Demonstrated ability to translate business problems into data solutions that drive business value
  • Excellent written and verbal communication skills; ability to collaborate across data, engineering, and product teams
  • Experience applying LLMs and generative AI in production, including prompt engineering, RAG, and LLM deployment
  • 8+ years of professional experience in software engineering or data engineering, with at least 3+ years building AI/ML-driven products
  • Strong programming skills in Python and proficiency in SQL
  • Solid understanding of cloud-based infrastructure, including AWS, GCP, or Azure
  • Strong grasp of fundamental data science and machine learning techniques, with the ability to balance research and engineering tradeoffs
Required Skills
agents LLM data science leadership roadmapping Hugging Face LangChain Airflow communication collaboration prompt engineering RAG software development data engineering artificial intelligence Python
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