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 integral 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

#J-18808-Ljbffr

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