SysMap Solutions is a technology services and consulting company that develops tailored digital solutions for client organizations. Its work spans cloud platforms, Salesforce and CRM systems, mobile applications, user experience, DevOps, machine learning, artificial intelligence, and broader digital transformation initiatives. The company combines software development expertise with a client-focused approach, building complex systems and applications around each customer’s operational and technical needs.
Senior Data Scientist, AI Agents
Build AI agents to prioritize purchase orders and optimize inventory for an agribusiness partner. Join SysMap Solutions, a Brazilian technology and digital transformation company.
Description
- Build AI agents in Python with LangGraph and LangChain.
- Turn business needs into implementation strategies and execution plans with the Product Owner and technical team.
- Create analyses and recommendations to prioritize and manage purchase orders.
- Connect agents to organizational systems and the data lake, working with Data Engineering.
- Design agent workflows that interact directly with systems, adding orchestration where needed.
- Use LLMs, code-versioned prompts, and execution logs to support traceability, ongoing improvement, and debugging.
- Prepare applications for development and staging, integrating them into existing deployment workflows with the platform team.
- Develop AI agents for a partner’s Procurement function in the agribusiness sector.
- Build solutions to analyze and prioritize about 1,000 purchase orders each day.
- Recommend actions to buyers, identify inventory optimization opportunities, suggest transfers between units, and help improve supply terms.
- Help define the technical strategy and develop the solution with the Product Owner and Data Engineering.
Requirements
- Bring senior-level experience in data science or AI solution development, including hands-on agent building.
- Be proficient in Python and experienced with LangGraph and LangChain for agent workflows.
- Have applied knowledge of language models and of connecting agents to enterprise data and systems.
- Be familiar with Linux environments, including WSL on Windows workstations.
- Work autonomously when technical steps are still being defined, and communicate and collaborate well with Product and Data Engineering teams.
- Know Langflow for low-code agent development.
- Have experience with Apache Airflow and DAGs for task orchestration and system integration.
- Have experience using OpenAI models through Azure Foundry.
- Be familiar with Docker and applications integrated into automated deployment workflows.
- Have experience developing solutions for purchasing, procurement, inventory, or decision support in high-volume operations.
Benefits
- Work fully remotely.
- Join on a permanent basis.
- Start immediately.
- Work with structured data and infrastructure already available for application development and deployment.