GoodlightAI

• Build and experiment with ML models and LLM-powered systems (classification, embeddings, retrieval, agents). • Work on real-world use cases such as retail personalization, workflow automation, and customer intelligence. • Design and improve prompt pipelines, evaluation frameworks, and agent behaviors. • Collaborate on data pipelines: ingestion, cleaning, feature engineering, and analysis. • Prototype and ship features quickly in a production environment. • Contribute to internal tooling for model monitoring, evaluation, and iteration.

• Build and ship polished customer-facing features in React/NextJS with a strong emphasis on accessibility, cross-browser consistency, pixel-level detail, and performance budgets. • Integrate REST/GraphQL APIs and data services; handle auth, rate limits, pagination, schema changes, and resilience patterns. • Develop and maintain backend services using Python, Flask, and Celery for asynchronous task processing and distributed job queues. • Connect to retailer systems (POS, CRM, ERP, data warehouses) to surface explainable insights and personalized offers in the product UI. • Develop components and internal tools that help design and deploy targeted, margin-aware promotions and segmentation workflows. • Collaborate with product, design, and data/ML engineers to translate purchase-behavior models and personas into usable UX, A/B experiments, and measurable outcomes. • Use AI APIs and AI assistants in daily work (code generation, refactoring, tests, documentation) to accelerate delivery while maintaining code quality. • Participate in code reviews, write tests, and contribute to a clean component library and shared standards.