AI / ML Engineer (Llms, Chatbots, RAG & Predictive Modeling) en Krunchbox

Krunchbox is a retail analytics SaaS platform helping brands increase sell-through, prevent stockouts, and uncover lost revenue across major retailers. We’re launching Krunchbox Reimagined — a modern AI platform focused on predictive analytics, AI agents, and real-time decision support. We’re looking for an AI / ML Engineer (1–5 years experience) to help us build chatbots, RAG systems, and production-grade ML models used directly by customers. This role spans building AI agents that generate insights, reports, and recommendations; developing RAG pipelines blending LLMs with structured data (POS, inventory, product data); and creating chat-based experiences for customer analytics.

1–5 years of experience in ML, data science, or backend engineering

Strong Python skills

Experience building APIs or backend systems

Experience with machine learning modeling (e.g., regression, time-series, classification, or similar)

Exposure to LLMs, chatbots, or prompt engineering

Comfortable working with messy datasets

Nice to Have: RAG or vector search experience; Time-series forecasting (Prophet, XGBoost, etc.); Retail / supply chain data experience; MLOps or production ML exposure

Why Join: Build real AI products (not just models); Work on LLMs, chatbots, and predictive ML systems; High ownership and fast growth; Be part of a major platform rebuild

Compensation: Competitive salary; Health benefits; Hybrid work model

Optional (but high leverage): Please include examples of ML models or LLM projects you’ve built (GitHub or portfolio).