Senior Software Engineer, Data & AI

🕒 il y a 2 mois

🗣️🇺🇸🇬🇧 Anglais requis

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Vendelux

11 - 50 employés

🤝 B2B

☁️ SaaS

💰 €2 400 000 Seed Round en 2022-01

B2B • SaaS • AI

Vendelux est une plateforme axée sur les données qui fournit des solutions d'intelligence pour les événements aux marketeurs et aux organisateurs d'événements. En utilisant des insights basés sur l'IA, Vendelux aide les utilisateurs à identifier et à interagir avec les participants et les sponsors lors de plus de 200,000 événements B2B. La plateforme propose des outils pour définir des listes cibles, découvrir des événements à fort retour sur investissement et élaborer des stratégies événementielles réussies grâce à la collaboration entre les équipes marketing et commerciales. Son objectif est d'améliorer le retour sur investissement du marketing événementiel en aidant les entreprises à choisir les meilleurs événements à sponsoriser et à assister, en offrant des analyses avancées et des insights sur des conférences, salons et rencontres spécifiques à l'industrie. Vendelux est approuvé par les marketeurs axés sur les données pour son interface conviviale et ses sources de données fiables, soutenant une planification et une exécution d'événements efficaces.

Description

• Design & Build AI-Powered Features: Architect, implement, and ship data-driven product features, always starting with the customer problem first. From prototyping through production, you’ll apply the right level of technology (whether simple heuristics or advanced AI) to deliver impact. • Build for Production: Build maintainable and scalable systems, including writing clean, testable code, integrating with new and existing data pipelines, and deploying solutions and services into cloud environments. • End to End Solution Delivery: Operate as an end-to-end developer in a fast paced startup. This involves identifying opportunities, prototyping solutions, securing stakeholder support, and productionalizing features that deliver measurable business value. • 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. • Collaborate Cross-Functionally: Work with business stakeholders and other engineers to turn customer problems into technical requirements and impactful features. • Promote Best Practices: Establish and evangelize standards for AI/ML engineering and data quality across the team.

🎯 Exigences

• 5+ 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.

🏖️ Avantages

• Direct product impact: Your models will shape how event marketers discover, connect, and measure ROI. • Product market fit: Customers love our platform; now it’s about enhancing the user experience and scaling with AI. • Ownership: You’ll set the standard for how we build, evaluate, and ship AI at Vendelux. • Growth: Work on cutting-edge problems in LLMs, recommendation systems, and applied ML. • Team: Join a collaborative, ambitious group with backgrounds at top tech and consulting firms.

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