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
Qualifications
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
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📌 Junior Llm / Agents Engineer - Systematic Commodities Hedge Fund (Xico)
🏢 Moreton Capital Partners
📍 Xico