Junior LLM / Agents Engineer – Systematic Commodities Hedge Fund Moreton Capital Partners is seeking a Junior LLM / Agents Engineer to help build internal AI systems that accelerate research, trading, and decision-making across our systematic commodities platform. We trade general commodity futures using machine learning and institutional-grade infrastructure.

A growing portion of our edge comes from automation: faster research workflows, better signal interpretation, and richer alternative data. This is not a “chatbot” role.

You will be building production AI tools that directly support live trading capital. What you will work on - Internal research copilots that explain signals, model outputs, and portfolio positioning to traders and quants - Signal/model assistants that summarize why trades are firing and highlight changes in exposures or regime shifts - Automated news briefings that generate daily/real-time summaries for commodities, macro, and sector-specific events - News sentiment and event extraction pipelines to create structured features for ML models - Alternative data enrichment, turning unstructured text (news, reports, filings) into quantitative inputs - Natural-language querying of internal databases (ask questions directly against signals, backtests, and risk data) - Workflow agents that automate repetitive research and ops tasks across Slack, Notion, Sheets, and internal tools - Integrations with tools such as Clawdbot, OpenAI/Claude APIs, LangChain, LlamaIndex, vector databases,



and internal Python services Key Responsibilities - Design and deploy LLM-powered systems embedded directly into research and trading workflows - Build RAG pipelines over proprietary research, backtests, signals, and documentation - Develop agents that call APIs, query databases, and automate multi-step tasks - Convert unstructured text/news into structured features for quantitative models - Evaluate quality, latency, and cost of model pipelines - Productionize systems with monitoring, guardrails, and logging - Collaborate closely with quant devs and researchers to ship tools that save real time - Strong Python fundamentals - Experience using LLM APIs (OpenAI, Anthropic, or similar) - Familiarity with agent frameworks (LangChain, LlamaIndex, CrewAI, etc.) - Comfortable working with APIs, databases, and backend services - Practical builder mindset — able to ship useful tools quickly - Self-starter who thrives in a lean, high-ownership environment - Degree in CS/Engineering or equivalent hands-on experience Bonus Points For - NLP or text analytics experience (sentiment, classification, embeddings) - Vector databases (Pinecone, Weaviate, Chroma, etc.) - Data engineering or backend experience - Exposure to markets, commodities, or systematic trading - Cloud (AWS), Docker, CI/CD - Performance bonus tied to firm growth and personal performance (up to 3x salary) - High ownership and rapid responsibility - Direct exposure to traders, quants, and live capital

📌 Junior LLM / Agents Engineer - Systematic Commodities Hedge Fund (Ciudad de México)
🏢 moretoncp
📍 Ciudad de México