Note: The job is a remote job and is open to candidates in USA. Vendelux is transforming how companies discover, evaluate, and maximize the impact of events. They are seeking a Senior Engineer, Data & AI to develop, deploy, and scale features that are core to their AI-powered platform, enhancing user experience and driving measurable business value.

Responsibilities

• 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

Skills

• 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

Company Overview