Vendelux is looking to maximize the impact of events that a company sponsors and attends by providing a system of record for event marketing and helping high-growth companies find the highest ROI events, conferences, and trade shows to attend and sponsor.
Requirements
- 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.
Responsibilities
- Design & Build AI-Powered Features: Architect, implement, and ship data-driven product features, always starting with the customer problem first.
- 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.
Other
- Must be willing to commute to our NYC office at least once per month.
- Excellent written and verbal communication skills; ability to collaborate across data, engineering, and product teams.
- Startup experience preferred.
- Ability to work in a fast-paced startup environment.
- Commitment 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.
