# Junior LLM / Agents Engineer - Systematic Commodities Hedge Fund

> Moreton Capital Partners · Mexico City, Mexico · Full-time · Posted 2026-02-09

**Salary:** MXN 600,000–1,200,000

**Workplace:** on_site

## Description

### **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 global 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

## Requirements

-   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

## Benefits

-   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

## Apply

[Apply at Moreton Capital Partners](https://apply.workable.com/moreton-capital-partners/j/B09073E471/apply)

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