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Pyyne

Senior AI Backend Engineer

Pyyne

Senior AI Backend Engineer consulting for Pyyne to build AI solutions for business. Maintaining and extending backend systems while collaborating with cross-functional teams.

Posted 6/29/2026full-timeRemote • 🇧🇷 BrazilSeniorWebsite

Tech Stack

Tools & technologies
Python

About the role

Key responsibilities & impact
  • Maintain and extend backend systems for an AI-powered research and analysis platform built on Python
  • Build and optimize data ingestion pipelines that pull from external sources (reviews, data warehouse) into the application layer
  • Integrate LLMs and agents into existing backend workflows
  • Collaborate closely with a small cross-functional team (frontend, DevOps, full-stack) to ship features end-to-end
  • Ensure backend services meet production standards for reliability, performance, and data integrity

Requirements

What you’ll need
  • Lead-level experience in Python backend engineering (~8+YoE)
  • Proven experience translating business processes into technical requirements or solution designs, ideally in a consulting or client-facing delivery role
  • Experience owning a roadmap and prioritizing competing initiatives by feasibility, ROI, and readiness
  • Demonstrated stakeholder management with both technical teams and non-technical business leaders
  • Experience working in structured, production environments
  • Fluent English, Native or near native level.
  • Contribute to ongoing architectural decisions on a platform that spans backend, data, and AI layers
  • Take end-to-end ownership of backend technical delivery with minimal oversight
  • Translate client research workflows and stakeholder requirements into scalable backend solutions
  • Potential and appetite to grow into a technical lead role.

Benefits

Comp & perks
  • Flexible remote working environment.
  • Career development opportunities in a fast-growing company.

ATS Keywords

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Hard Skills & Tools
PythonData IngestionBackend DevelopmentTechnical Requirements TranslationProduction Standards Compliance
Soft Skills
Stakeholder ManagementCollaborationLeadership