Junior Llm / Agents Engineer - Systematic Commodities Hedge Fund (Xico)

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 pipelinesProductionize 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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