Senior Data Scientist – AI

Posted 14hrs ago

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Job Description

Cientista de Dados Sênior desenvolvendo agentes de IA para priorizar ordens de compra e otimizar estoques. Grupo SysMap, empresa brasileira de tecnologia e transformação digital.

Responsibilities:

  • Develop AI agents in Python using LangGraph and LangChain
  • Translate business needs into implementation strategies and define execution plans with the Product Owner and technical team
  • Build analyses and recommendations to support the prioritization and management of purchase orders
  • Integrate agents with the organization’s systems and consume data from the data lake in collaboration with Data Engineering
  • Develop agent workflows with direct interaction between systems, including orchestration mechanisms when necessary
  • Work with LLMs, prompts versioned in code, and execution logs, ensuring traceability, continuous improvement, and ease of debugging
  • Prepare applications for execution in development and staging environments, integrating them into existing deployment workflows with support from the platform team
  • Develop AI agents for the Procurement function of a partner in the agribusiness sector
  • Develop solutions to analyze and prioritize approximately 1,000 purchase orders per day
  • Generate recommendations for buyers, identify inventory optimization opportunities, suggest transfers between units, and support improved supply terms
  • Participate in defining the technical strategy and developing the solution in partnership with the Product Owner and Data Engineering

Requirements:

  • Senior-level experience in Data Science or AI solution development, with hands-on experience building agents
  • Proficiency in Python and experience with LangGraph and LangChain for developing agentic workflows
  • Applied knowledge of language models and integrating agents with enterprise data and systems
  • Familiarity with Linux environments, including through WSL on Windows workstations
  • Autonomy to structure solutions in scenarios where technical steps are still being defined, along with strong communication and collaboration skills with Product and Data Engineering teams
  • Knowledge of Langflow for low-code agent development
  • Experience with Apache Airflow and DAGs for task orchestration and system integration
  • Experience consuming OpenAI models through Azure Foundry
  • Familiarity with Docker and applications integrated into automated deployment workflows
  • Experience developing solutions for purchasing, procurement, inventory, or decision support in high-volume operations

Benefits:

  • 100% remote work
  • Permanent position
  • Immediate start
  • Environment with structured data and infrastructure already available for application development and deployment