Graduate AI / ML Engineer (RAG, Chatbot, LLM, Vector DB) 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.

Fuente oficial: getonbrd.com.

1–3 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).