Senior Software Engineer, Data & AI
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Job Description
Senior Engineer, Data & AI developing AI-powered features for Vendelux's event marketing platform. Collaborating across teams to translate business problems into data-driven solutions.
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.
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.
- 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:
- 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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