Especialista de Inteligência Artificial

Sobre a vaga

Our client is a multinational agriculture company, based in São Paulo/SP and with hybrid work model (3 days in the office and 2 days remote).

The professional will work closely with traders, analysts, and managers within the Business Unit to understand workflows, data requirements, and key decision points. Based on this understanding, they will translate the trading desk's needs into high-quality AI prompts, AI agent workflows, and tool integrations within the company's internal AI platform.

Main Responsibilities

• Natural-language desk Q&A
• Research synthesis and analytics
• PnL, position, and exposure analysis
• Automated reporting and desk summaries
• (Potentially) trade-support and booking-related workflows with appropriate controls
• Design and iterate AI behaviors
• Develop and maintain prompt libraries, agent playbooks, evaluation datasets, and quality metrics
• Perform structured testing (prompt iteration, error analysis, guardrails) to improve reliability, consistency, and trust
• Partner with internal technology, data, and risk/compliance teams as needed to ensure secure, auditable, and production-ready AI usage
• Act as a bridge between the desk and technology, helping drive adoption through training, demos, and continuous feedback loops

Requirements

• Experience in one or more of the following areas: Trading Technology / IT supporting, Derivatives, or Commodities desks
• Quantitative, analytics, or risk roles with market-facing exposure
• Finance or commodities roles with strong technical orientation
• Working knowledge of equities, futures, options, or derivatives and how desks consume analytics and reporting
• Strong communication skills and comfort engaging directly with traders and analysts
• Bachelor’s degree (or equivalent experience) in Computer Science, Engineering, Math, Finance, Physics, or related fields
• Advanced English

Strongly Preferred

• Prior experience with LLMs, prompt engineering, agentic AI systems, RAG architectures, or evaluation frameworks
• Evidence of building GPTs or AI agents (professional, academic, or personal projects)
• Background in trading systems, market data platforms, or analytics tooling (e.g., Bloomberg, Refinitiv, in-house systems)
• Python or scripting experience used for analysis, prototyping, or automation (helpful, not required)
• Familiarity with PnL reporting, exposure analysis, factor models, or desk risk views