The ad says“Research and apply modern AI methods, including AI agents, LLMs, RAG, embeddings, supervised learning, and unsupervised learning, to power new product capabilities”
The ad says“Solid understanding of cloud-based infrastructure, including AWS, GCP, or Azure”
The ad says“Solid understanding of cloud-based infrastructure, including AWS, GCP, or Azure”
The ad says“Research and apply modern AI methods, including AI agents, LLMs, RAG, embeddings, supervised learning, and unsupervised learning, to power new product capabilities”
The ad says“Solid understanding of cloud-based infrastructure, including AWS, GCP, or Azure”
The ad says“Experience applying LLMs and generative AI in production, including prompt engineering, RAG, and LLM deployment”
The ad says“Research and apply modern AI methods, including AI agents, LLMs, RAG, embeddings, supervised learning, and unsupervised learning, to power new product capabilities”
The ad says“Strong grasp of fundamental data science and machine learning techniques, with the ability to balance research and engineering tradeoffs”
The ad says“Experience applying LLMs and generative AI in production, including prompt engineering, RAG, and LLM deployment”
The ad says“Strong programming skills in Python and proficiency in SQL”
The ad says“Research and apply modern AI methods, including AI agents, LLMs, RAG, embeddings, supervised learning, and unsupervised learning, to power new product capabilities”
The ad says“Strong programming skills in Python and proficiency in SQL”
The ad says“Research and apply modern AI methods, including AI agents, LLMs, RAG, embeddings, supervised learning, and unsupervised learning, to power new product capabilities”
The ad says“Research and apply modern AI methods, including AI agents, LLMs, RAG, embeddings, supervised learning, and unsupervised learning, to power new product capabilities”
Values
The ad says“Experience with modern AI frameworks, such as HuggingFace and LangChain, and designing data pipelines using Airflow, Dagster, or equivalent”
The ad says“Experience with modern AI frameworks, such as HuggingFace and LangChain, and designing data pipelines using Airflow, Dagster, or equivalent”
The ad says“Experience with modern AI frameworks, such as HuggingFace and LangChain, and designing data pipelines using Airflow, Dagster, or equivalent”
The ad says“Experience with modern AI frameworks, such as HuggingFace and LangChain, and designing data pipelines using Airflow, Dagster, or equivalent”
As an AI Engineer at Vendelux, you will research, build, and ship AI-powered product capabilities that improve user workflows, accelerate insights, and drive measurable business value
You’ll help establish AI as a foundational layer of the Vendelux product experience, with a focus on agentic systems, LLMs, data, and scalable AI infrastructure
Research and apply modern AI methods, including AI agents, LLMs, RAG, embeddings, supervised learning, and unsupervised learning, to power new product capabilities
Prioritize impact and speed over perfection when developing and shipping AI-powered solutions
Translate business problems into AI solutions that improve user workflows, accelerate insights, and drive measurable value
Own the architecture and integration of agentic chat capabilities throughout the Vendelux platform
Design the underlying systems that allow AI agents to reason, take action, and surface insights across every surface of the product
Establish patterns for how agents interact with internal data, external tools, and user workflows, turning conversational AI from a feature into a foundational layer of the product experience
Architect multi-tenant AI infrastructure that meets the performance, latency, and cost requirements of a growing B2B SaaS product
Own observability, evaluation frameworks, and guardrails to keep AI features production-grade
Work closely with product, data science, and application engineering teams to translate business requirements into AI systems
Serve as a thought partner to leadership on the AI roadmap, influencing how Vendelux thinks about product differentiation through AI
Benefits
Regular Retreats: We regularly meet up in beautiful locations around the world to discuss all things Vendelux
Recharge Weeks: The company shuts downs two times a year so everyone can recharge without work piling up
Preferred experience
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
