Staff AI Engineer

Vendelux is transforming how companies discover, evaluate, and maximize the impact of events. Event marketers are the driving force behind pipeline and brand — yet events remain one of the least optimized and most opaque marketing channels. Vendelux changes that. We provide the system of record for event marketing, giving teams the data and insights they need to make smarter, more strategic decisions. Our AI-powered platform delivers proprietary insights across 250,000+ events, helping high-growth companies identify where their ideal customers will be, maximize ROI, and turn events into a scalable growth channel. Customers often describe Vendelux as an event marketer’s dream. A key part of this is our growing network of event organizer partnerships — where organizers share first-party attendee and sponsorship data, and in return gain access to valuable market insights. In addition, Vendelux Meetings helps customers turn event insights into action — using AI to identify high-value attendees and automatically book 1:1 meetings with the right prospects at conferences. This allows teams to maximize pipeline generation and make every event materially more impactful. Founded in 2021, Vendelux is a Series A SaaS company backed by leading investors including FirstMark, with a recent $14M round. Our team brings experience from companies like Bain, ZoomInfo, Airbnb, FanDuel, Shutterstock, Compass and more. ________________ Key Responsibilities Applied AI Innovation: Research and apply modern methods (AI agents, LLMs, RAG, embeddings, supervised/unsupervised learning) to power new product capabilities, prioritizing impact and speed over perfection. Enhance User Experience Through AI: Translate business problems into AI solutions that improve user workflows, accelerate insights, and drive measurable value Build Agentic Chat Across the Product: Own the architecture and integration of agentic chat capabilities throughout the Vendelux platform — designing the underlying systems that allow AI agents to reason, take action, and surface insights across every surface of the product. You'll establish the 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. Build for Scale and Reliability: Architect multi-tenant AI infrastructure that meets the performance, latency, and cost requirements of a growing B2B SaaS product. You'll own observability, evaluation frameworks, and guardrails to keep AI features production-grade. Partner Across Product and Engineering: Work closely with product, data science, and application engineering teams to translate business requirements into AI systems. You'll serve as a thought partner to leadership on the AI roadmap, influencing how Vendelux thinks about product differentiation through AI. Qualifications 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. Experience with modern AI frameworks (eg HuggingFace, LangChain, etc.) and designing data pipelines (Airflow, Dagster, or equivalent), Solid understanding of cloud-based infrastructure (AWS, GCP, or Azure). Experience applying LLMs and generative AI in production, including prompt engineering, RAG, and LLM deployment. Strong grasp of fundamental data science and machine learning techniques, with the ability to balance research and engineering tradeoffs. Demonstrated ability to translate business problems into data solutions that drive business value. Proven track record of shipping user-facing features with measurable impact. Excellent written and verbal communication skills; ability to collaborate across data, engineering, and product teams. Startup experience preferred. 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. Vendelux is proud to be an equal opportunity workplace. We are committed to equal opportunity regardless of race, color, ancestry, religion, gender, gender identity, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status.