Senior AI Engineer

🕒 May 8

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Vendelux

11 - 50 employees

🤝 B2B

☁️ SaaS

💰 $2.4M Seed Round on 2022-01

B2B • SaaS • AI

Vendelux is a data-driven platform that provides event intelligence solutions for event marketers and organizers. By utilizing AI-powered insights, Vendelux helps users identify and engage with attendees and sponsors at over 200,000 B2B events. The platform offers tools to define target lists, discover high-ROI events, and drive successful event strategies through collaboration between marketing and sales teams. It aims to enhance event marketing ROI by helping companies choose the best events to sponsor and attend, providing advanced analytics and insights about industry-specific conferences, trade shows, and meetups. Vendelux is trusted by data-driven marketers for its user-friendly interface and reliable data sources, supporting efficient event planning and execution.

📋 Description

• Research and apply modern methods (AI agents, LLMs, RAG, embeddings, supervised/unsupervised learning) to power new product capabilities, prioritizing impact and speed over perfection. • 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 — designing the underlying systems that allow AI agents to reason, take action, and surface insights across every surface of the product. • Architect multi-tenant AI infrastructure that meets the performance, latency, and cost requirements of a growing B2B SaaS product. • Work closely with product, data science, and application engineering teams to translate business requirements into AI systems.

🎯 Requirements

• 4+ 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.

🏖️ Benefits

• 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.

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