Senior Data Scientist – AI

SysMap Solutions

. Develop AI agents in Python using LangGraph and LangChain .

Posted 10/14/2026full-timeRemote • BrazilSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing AI agents using Python, LangGraph, and LangChain, with a strong focus on integrating solutions within enterprise systems and optimizing procurement processes. Proven ability to collaborate with cross-functional teams to translate business needs into effective technical strategies.

Highest-signal resume keywords

Python ProficiencyLangGraph ExperienceLangChain DevelopmentApache Airflow KnowledgeOpenAI Model Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Solution DevelopmentData Science ExpertiseAgent Workflow DevelopmentTask OrchestrationInventory Optimization

Soft Skills

Strong CommunicationCollaboration SkillsAutonomy in Problem-Solving

Tools & Technologies

Linux EnvironmentsDockerAzure FoundryLangflowDAGs

Industry Keywords

ProcurementHigh-Volume OperationsDecision SupportSupply Chain ManagementData Engineering

Tech Stack

Tools & technologies

AirflowApacheAzureDockerLinuxPython

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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