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 onInternal research copilots that explain signals, model outputs, and portfolio positioning to traders and quantsSignal/model assistants that summarize why trades are firing and highlight changes in exposures or regime shiftsAutomated news briefings that generate daily/real‐time summaries for commodities, macro, and sector‐specific eventsNews sentiment and event extraction pipelines to create structured features for ML modelsAlternative data enrichment, turning unstructured text (news, reports, filings) into quantitative inputsNatural‐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 toolsIntegrations with tools such as Clawdbot, OpenAI/Claude APIs, LangChain, LlamaIndex, vector databases,



and internal Python servicesKey ResponsibilitiesDesign and deploy LLM‐powered systems embedded directly into research and trading workflowsBuild RAG pipelines over proprietary research, backtests, signals, and documentationDevelop agents that call APIs, query databases, and automate multi‐step tasksConvert unstructured text/news into structured features for quantitative modelsEvaluate quality, latency, and cost of model pipelinesProductionize systems with monitoring, guardrails, and loggingCollaborate closely with quant devs and researchers to ship tools that save real timeQualificationsStrong Python fundamentalsExperience using LLM APIs (OpenAI, Anthropic, or similar)Familiarity with agent frameworks (LangChain, LlamaIndex, CrewAI, etc.)Comfortable working with APIs, databases, and backend servicesPractical builder mindset — able to ship useful tools quicklySelf‐starter who thrives in a lean, high‐ownership environmentDegree in CS/Engineering or equivalent hands‐on experienceBonus Points ForNLP or text analytics experience (sentiment, classification, embeddings)Vector databases (Pinecone, Weaviate, Chroma, etc.)Data engineering or backend experienceExposure to markets, commodities, or systematic tradingCloud (AWS), Docker, CI/CDPerformance bonus tied to firm growth and personal performance (up to 3x salary)High ownership and rapid responsibilityDirect exposure to traders, quants, and live capital#J-*****-Ljbffr

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