Backend Engineer: Python, AWS & GenAI (Remote Brazil)

Jobgether; United States; Remote; USD 36,000 - 58,000; Full time

Benefits offered by this job

100% remote (within Brazil)

Long-term contractor engagement

Collaboration with international team

Opportunity to work on GenAI products

Job summary

Jobgether is seeking a skilled Python backend engineer to design, build, and maintain scalable services for AI and GenAI workflows. You will implement reliable APIs, leverage vector stores, and integrate with AWS infrastructure in a remote Brazil context.

The role demands 4–8 years of backend experience, strong Python expertise, and hands-on work with FastAPI/Flask/Django, Docker, and distributed systems. You will join an international team and own significant backend components end-to-end.

Qualifications

• 4–8 years of professional software engineering experience with strong hands-on Python backend development.
• Experience with Python backend frameworks such as FastAPI, Flask, or Django.
• Proven ability to design and develop scalable APIs and backend services.
• Exposure to AI/ML or Generative AI applications, including model integrations, vector databases, embeddings, or document-processing.
• Hands-on experience with AWS and cloud-based infrastructure.
• Experience using Docker and modern deployment pipelines.
• Familiarity with distributed systems and asynchronous processing.

Responsibilities

• Design, build, and maintain scalable backend systems using Python and frameworks like FastAPI, Flask, or Django.
• Develop backend services supporting document retrieval, processing pipelines, and GenAI workflows.
• Create reliable APIs that integrate AI models, vector databases, and embedding services.
• Build reusable Python components that work with AWS infrastructure.
• Develop and maintain containerized applications using Docker and modern deployment practices.
• Implement asynchronous processing and distributed components for scalability.
• Develop logging, metrics, tracing, and monitoring tools for reliability.
• Write clean, maintainable, testable code with clear separation of concerns.
• Contribute to backend architecture, technical design, and engineering decisions.
• Take end-to-end ownership of backend systems including deployment and maintenance.
• Resolve complex technical issues and optimize performance.

Skills

Python backend

FastAPI

Flask

Django

APIs design

AWS

Docker

Distributed systems

Asynchronous processing

GenAI integration

English communication

Tools

Docker

AWS

CI/CD

Git

Job description

Jobgether is seeking a skilled Python backend engineer to design, build, and maintain scalable services for AI and GenAI workflows. You will implement reliable APIs, leverage vector stores, and integrate with AWS infrastructure in a remote Brazil context.

The role demands 4–8 years of backend experience, strong Python expertise, and hands-on work with FastAPI/Flask/Django, Docker, and distributed systems. You will join an international team and own significant backend components end-to-end.