jobapplier

Staff AI Engineer

Vendelux

Skills

Required

  • AI / ML-driven
  • software engineering / data engineering
  • data science
  • LLM-powered
  • prompt engineering
  • RAG
  • evaluation
  • LLM deployment
  • programming
  • Python
  • SQL
  • cloud-based infrastructure
  • AWS / GCP / Azure
  • modern AI frameworks
  • Airflow

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.

About Vendelux

  • 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.
  • Establish AI as a foundational layer of the Vendelux product experience, focusing on agentic systems, LLMs, data, and scalable AI infrastructure.

Responsibilities

  • Research, build, and ship AI-powered product capabilities that improve user workflows and drive measurable business value.
  • Translate business problems into AI solutions, own the architecture and integration of agentic chat capabilities throughout the Vendelux platform.

Requirements

  • You've shipped LLM-powered or agentic features to production users, not just prototypes, including prompt engineering, RAG, evaluation and LLM deployment
  • Strong programming skills in Python and proficiency in SQL
  • 8+ years of professional experience in software engineering or data engineering, with at least 3+ years building AI/ML-driven products
  • Solid understanding of cloud-based infrastructure, including AWS, GCP, or Azure
  • Experience with modern AI frameworks, such as HuggingFace and LangChain, and designing data pipelines using Airflow, Dagster, or equivalent
  • Strong grasp of fundamental data science and machine learning techniques, with the ability to balance research and engineering tradeoffs
  • Excellent written and verbal communication skills; ability to collaborate across data, engineering, and product teams
  • Demonstrated ability to translate business problems into data solutions that drive business value
  • Proven track record of shipping user-facing features with measurable impact

Not all candidates will check all of the requirements listed above and that’s ok! We are open to great people from non-traditional backgrounds