Junior LLM / Agents Engineer – Systematic Commodities Hedge FundMoreton 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 servicesKey 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 experienceBonus 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-*****-Ljbffr

📌 Junior Llm / Agents Engineer - Systematic Commodities Hedge Fund (Xico)
🏢 moretoncp
📍 Xico