Data Quality & AI Engineer - Bunge
Summary
Hands-on engineer role at Bunge building a cloud-native data platform on Google Cloud: developing Python data-quality automation, deploying generative AI solutions (assistants, RAG, multi-agent LLM workflows), and managing infrastructure with Terraform, BigQuery, Cloud Run, and Vertex AI in a hybrid work setup.
¿Posee las habilidades y la experiencia adecuadas para este puesto? Siga leyendo para descubrirlo y envíe su solicitud.
In this role you’ll lead hands-on work on a cloud-native data platform, focused on quality and AI-driven solutions. You’ll join a global team to advance data governance, AI-enabled data products, and scalable pipelines on Google Cloud. You’ll collaborate with engineers, product owners, and governance teams to drive decision-ready insights. This is a chance to shape a data-centric platform within a mission-driven company that values collaboration, agility, and innovation.
Compensaciones / Beneficios
- strong compensation and benefits package
- generous paid time off
- flexible work arrangements
- hybrid work environment
- opportunity to progress
- values-driven culture
Responsabilidades
- Design, develop, and maintain scalable data quality applications, services, and automation frameworks using Python
- Build and deploy Generative AI solutions, including AI assistants, copilots, RAG architectures, and intelligent automation workflows
- Develop and maintain AI Agent and multi-agent orchestration solutions with modern LLM frameworks and cloud-native services
- Implement cloud infrastructure using Terraform and IaC best practices
- Develop and support data quality solutions on Google Cloud Platform (GCP) including BigQuery, Cloud Run, Cloud Functions, DataPlex, Vertex AI, Cloud Storage, Pub/Sub, Dataflow
- Build APIs, integrations, and reusable libraries to support AI and data platform initiatives
- Participate in evaluating and adopting emerging AI, LLM, and cloud technologies
- Communicate technical concepts and solution designs effectively to technical and non-technical stakeholders
Requisitos principales
- Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related field
- 2-4 years of experience in Software xkdbapo Engineering, Data Engineering, Cloud Engineering, or a related technical role
- Strong Python skills (API development, automation, scripting, application development)
- SQL, REST APIs, Git
- Knowledge of Cloud & Infrastructure, Google Cloud Platform (GCP), Terraform, Cloud Functions, DevOps & Platform Engineering, CI/CD, Docker, and IaC
- Cross-functional collaboration
- Effective communication with technical and non-technical stakeholders
- Influencing and mentoring to gain commitment and grow teams
- Python programming
- API development
- SQL and BigQuery