Backend Engineer – Python, AWS & GenAI

Jobgether; United States; A distancia; USD 36.000 - 58.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

100% remote (within Brazil)

Long-term contractor engagement

Collaboration with international team

Opportunity to work on GenAI products

Descripción de la vacante

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.

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

Python backend

FastAPI

Flask

Django

APIs design

AWS

Docker

Distributed systems

Asynchronous processing

GenAI integration

English communication

Herramientas

Docker

AWS

CI/CD

Git

Descripción del empleo

Accountabilities

• Design, build, and maintain scalable backend systems using Python and frameworks such as FastAPI, Flask, or Django.
• Develop backend services supporting document retrieval, processing pipelines, and AI/GenAI workflows.
• Design and implement reliable APIs that integrate AI models, vector databases, embedding services, and other internal or external systems.
• Build reusable Python components and services that integrate effectively with AWS infrastructure.
• Develop and maintain containerized applications using Docker and modern deployment practices.
• Implement asynchronous processing and distributed system components to support scalable and reliable backend operations.
• Build and maintain logging, metrics, tracing, and internal monitoring tools to track system performance and reliability.
• Write clean, maintainable, testable, and reusable code, ensuring clear separation between business logic and infrastructure.
• Contribute to backend architecture, technical design, and engineering decisions.
• Take end-to-end ownership of backend systems, including development, deployment, monitoring, optimization, and long-term maintenance.
• Identify and resolve complex technical issues while continuously improving system performance, scalability, and reliability.

Requirements

• 4–8 years of professional experience in software engineering, with strong hands‑on expertise in Python backend development.
• Practical 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 systems.
• Hands‑on experience working with AWS services and cloud‑based infrastructure.
• Experience using 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 principles.
• Ability to write clean, reusable, and testable code.
• Strong analytical and problem‑solving skills, with the ability to work independently and take ownership of technical challenges.
• Professional‑level English communication skills.
• Applicants must currently be based in Brazil.

Benefits

• Full‑time, long‑term contractor engagement.
• 100% remote working arrangement within Brazil.
• Opportunity to build advanced backend systems supporting AI and GenAI products.
• Ownership of technically challenging projects with meaningful enterprise impact.
• Collaboration with an international team of skilled professionals.
• Fast‑paced environment that encourages innovation, autonomy, and continuous professional growth.