Backend Engineer – Python, AWS & GenAI

Scale Up Recruiting Partners

Córdoba

Presencial

ARS 1.200.000 - 2.100.000

Jornada completa

hace 11 horas
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Descripción de la vacante

Scale Up Recruiting Partners is seeking a Backend Engineer to design, build, and maintain scalable Python-based backend systems supporting AI and GenAI solutions for enterprise clients. The role is 100% remote from Argentina, with full-time contractor commitment and end-to-end ownership of backend architecture, APIs, deployment, and reliability.

The ideal candidate has strong Python backend development experience with AWS, Docker, and experience integrating AI/ML models, vector databases, and

Formación

  • Proven Python backend development experience.
  • Experience with AI/ML or GenAI integrations.
  • Experience with AWS, Docker, and modern deployment pipelines.
  • Strong English communication and ability to work independently.

Responsabilidades

  • Build scalable backend systems using Python and frameworks such as FastAPI, Flask, or Django.
  • Develop services for document retrieval, processing pipelines, and AI/GenAI workflows.
  • Design reliable APIs that connect AI models, vector databases, embeddings, or other systems.
  • Build reusable Python components that integrate with AWS services.

Conocimientos

Python
APIs
AWS
Docker
GenAI
English
Async
Distributed

Herramientas

FastAPI
Flask
Django
Vector databases

Descripción del empleo

  • Type of Employment: Full-Time Contractor
  • Work Modality: 100% Remote
  • Location: Argentina Only
  • Work Schedule: Full-Time
Backend Engineer – Python, AWS & GenAIer
  • Type of Employment: Full-Time Contractor
  • Work Modality: 100% Remote
  • Location: Argentina Only
  • Work Schedule: Full-Time
About The Role

Our client is looking for a highly skilled Backend Engineer to design, build, and maintain scalable backend systems supporting advanced AI and GenAI solutions for enterprise customers.

This role is ideal for an engineer with strong Python backend development experience who enjoys solving complex technical problems and building reliable systems that integrate AI/ML models, vector databases, embedding services, data pipelines, and AWS infrastructure.

The successful candidate will take end-to-end ownership of backend systems, from architecture and API design to deployment, monitoring, optimization, and long-term maintenance.

Key Responsibilities
  • Build scalable backend systems using Python and frameworks such as FastAPI, Flask, or Django.
  • Develop services for document retrieval, processing pipelines, and AI/GenAI workflows.
  • Design reliable APIs that connect AI models, vector databases, embedding services, and other systems.
  • Build reusable Python components that integrate with AWS services.
  • Work with containers, asynchronous processing, and distributed systems.
  • Implement logging, metrics, tracing, and internal tools to monitor performance and reliability.
  • Write clean, testable, and reusable code while separating business logic from infrastructure.
  • Take ownership of backend systems and technical decisions end-to-end
Required Skills And Qualifications
  • Strong professional experience with Python backend development.
  • Experience with FastAPI, Flask, or Django.
  • Experience designing and building scalable APIs and backend services.
  • Exposure to AI/ML or GenAI applications, including model integrations, vector databases, embeddings, or document-processing systems.
  • Hands-on experience with AWS services.
  • Experience with Docker and modern deployment pipelines.
  • Familiarity with distributed systems, asynchronous processing, and service-to-service communication.
  • Understanding of functional programming concepts and maintainable software design.
  • Strong problem-solving skills and the ability to work independently.
  • Professional-level English communication skills.
What We Offer
  • A full-time, long-term contractor opportunity.
  • The flexibility of a fully remote work environment.
  • The opportunity to work on advanced backend systems supporting AI and GenAI products.
  • Ownership of technically challenging projects with real enterprise impact.
  • Collaboration with an international and highly skilled team.
  • A fast-paced environment that encourages innovation, autonomy, and continuous professional growth.
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