AI ML Engineer LLM Chatbots, RAG , Predictive Modeling)

2–4 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).

Build AI agents (“Krunchy”) that generate Insights, Reports, Recommendations

Develop RAG pipelines combining LLMs with structured data (POS, inventory, product data)

Create chat-based experiences for customer analytics

Machine Learning Modeling (Core): build and improve models for Demand forecasting, Stockout risk, Lost sales estimation, Anomaly detection

Perform feature engineering on messy retail datasets

Model evaluation and iteration

Help take models from prototype → production

Tech Stack: Python (FastAPI preferred), LLM APIs (OpenAI, Anthropic), LangChain / LlamaIndex (or similar), Vector databases, ClickHouse / modern data stack, AWS / cloud infrastructure

RAG or vector search experience

Time-series forecasting (Prophet, XGBoost, etc.)

Retail / supply chain data experience

MLOps or production ML exposure

Comprehensive health and benefits coverage.

A predominantly in-person, collaborative work environment located in Santiago De Chile, to encourage fast iteration and real-time problem solving.

Opportunity to scale and lead a global SaaS platform that solves real-world customer challenges.

A direct, impactful role in shaping the future of AI-powered supplier-retailer collaboration.