Senior Software Engineer, Data & AI

🕒 Março 28

🗽 New York – Remoto

🗽 New York – Remote

💵 $175.000 - $225.000 / ano

⏰ Tempo Integral

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

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Vendelux

SiteLinkedInTodas as Vagas

11 - 50 funcionários

🤝 B2B

☁️ SaaS

💰 $2.400.000 Seed Round em 2022-01

B2B • SaaS • AI

Vendelux é uma plataforma orientada por dados que fornece soluções de inteligência para eventos direcionadas a profissionais de marketing e organizadores de eventos. Ao utilizar insights impulsionados por IA, a Vendelux ajuda os usuários a identificar e interagir com participantes e patrocinadores em mais de 200. 000 eventos B2B. A plataforma oferece ferramentas para definir listas-alvo, descobrir eventos com alto ROI e impulsionar estratégias de eventos bem-sucedidas através da colaboração entre equipes de marketing e vendas. Seu objetivo é melhorar o ROI do marketing de eventos, ajudando empresas a escolher os melhores eventos para patrocinar e participar, fornecendo análises avançadas e insights sobre conferências específicas da indústria, feiras e encontros. A Vendelux é confiável por profissionais de marketing orientados por dados, por sua interface amigável e fontes de dados confiáveis, apoiando o planejamento e execução eficiente de eventos.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• 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.