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Senior Backend Engineer (Python & AI) LATAM 100 Remote

Prometeo Talent


Job Location:

Asunción - Paraguay

Monthly Salary: Not provided by the employer
Posted: 16 September 2026 (2 days ago)
Application Deadline: 14 December 2026
Vacancies: 1 Vacancy

Job Summary

About us

At Prometeo Talent we connect top-tier tech and engineering professionals with companies that are shaping the future. With a strong presence across America and Europe were proud to be one of the highest-rated recruitment agencies in the market.

Were currently partnering with a fast-growing US-based cybersecurity startup. The company is building innovative security solutions that help organizations strengthen their cybersecurity posture through intelligent scalable and modern technology. As an early-stage startup youll have the opportunity to work on complex technical challenges contribute to product evolution and make a direct impact on the growth and success of the platform.

The Opportunity

We are looking for a Senior Backend Engineer who thrives in startup environments and enjoys building scalable systems from the ground up.

This role is ideal for engineers who combine deep backend expertise with a strong ownership mindset. You will play a key role in designing building and maintaining distributed systems while collaborating with a highly technical and fast-moving team.

The ideal candidate has extensive experience with Java and Python enjoys solving complex engineering problems and embraces AI-assisted development workflows to increase productivity without compromising quality.

Responsibilities
  • Design build and maintain scalable backend services using Java and Python.

  • Develop distributed systems involving databases APIs message queues and data processing pipelines.

  • Take full ownership of features and services throughout their lifecycle from design and implementation to monitoring and optimization.

  • Build production-ready systems with a strong focus on reliability performance and maintainability.

  • Collaborate closely with product and engineering teams to translate business requirements into technical solutions.

  • Improve system performance scalability and operational efficiency across the platform.

  • Leverage AI-assisted development tools to accelerate delivery while ensuring code quality and engineering best practices.

  • Participate in architectural discussions and contribute to key technical decisions as the company scales.

  • Continuously improve development processes tooling and engineering standards.

Requirements
  • 8 years of experience in software engineering or backend development.

  • 5 professional experience with Python building and maintaining production-grade backend systems.

  • Strong experience with Java.

  • Hands-on experience with AI/LLM-based application development (AI agents agentic systems or LLM-powered applications)

  • Experience building AI-driven features LLM integrations or agentic workflows in production environments is highly preferred.

  • Solid understanding of distributed systems scalable architectures and asynchronous processing.

  • Experience working with databases message queues and data processing pipelines.

  • Hands-on experience with Docker and Kubernetes in production environments.

  • Proven experience building maintaining optimizing and improving products after launch.

  • Strong ownership mindset autonomy and ability to thrive in startup or fast-paced environments.

  • Advanced English level

Nice to have

  • Experience working in product-focused companies owning products beyond the initial development phase.

  • Experience in cybersecurity products or security-focused platforms.

  • Experience with Kafka RabbitMQ or similar messaging systems.

  • Experience building large-scale distributed data processing systems.

  • Background in high-growth startups or scale-ups.

  • Previous experience in large technology companies

Whats in it for You

100% remote work with flexibility to work from LATAM.

Join an early-stage cybersecurity startup where your work will directly impact the product and company growth.

Be part of an engineering culture that embraces modern AI-assisted development workflows.

Company-provided laptop and equipment.

Generous PTO and regional holidays.

High ownership autonomy and direct influence on technical decisions.