3 publicaciones de empleo destacadas de ml ops engineer jr en vallejo, cdmx (¡Están contratando!)

Junior LLM / Agents Engineer - Systematic Commodities Hedge Fund
Moreton Capital Partners —Ciudad de México, CDMX
- $600,000 a $1,200,000 por año
- Tiempo completo
- Licenciatura
- Python
Postulación rápida
ML Ops Engineer JR
Ucloud —Ciudad de México, CDMX
- DevOps
- Python
Postulación rápida
Data Engineer II, DASH Device Operations
Servicios Comerciales Amazon Mexico S. de R.L. de C.V. —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Preparación de alimentos
- Java

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Junior LLM / Agents Engineer - Systematic Commodities Hedge Fund
Moreton Capital Partners —Ciudad de México, CDMX
Workflow agents that automate repetitive research and ops tasks across Slack, Notion, Sheets, and internal tools. Data engineering or backend experience.
$600,000 a $1,200,000 por año
Postulación rápida
ML Ops Engineer JR
Ucloud —Ciudad de México, CDMX
Buscamos talento Freelancer especialista en MLOps para sumarse a diversos proyectos desafiantes y de alto impacto en uCloud.
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Junior LLM / Agents Engineer - Systematic Commodities Hedge Fund

Moreton Capital Partners
Ciudad de México, CDMX

Postulación rápida

Información del empleo

Tiempo completo
$600,000 a $1,200,000 por año

Cualificaciones

Derecho
Slack
Docker
Licenciatura
NLP
Python

Descripción completa del empleo

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 global 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

Requirements

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

Benefits

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

Postulación rápida

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Junior LLM / Agents Engineer - Systematic Commodities Hedge Fund

ML Ops Engineer JR

Data Engineer II, DASH Device Operations

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