Remote Ai Agent Engineer - Build Generative Ai Workflows

Randstad Argentina; La Pampa; Remote; ARS 136,310,000 - 212,038,000; Full time

Benefits offered by this job

100% remote (LATAM)

Company laptop provided

Generous PTO

Job summary

Prometeo Talent connects top-tier tech professionals with companies shaping the future. We’re partnering with a fast-growing US-based cybersecurity startup to hire a Senior Backend Engineer.

You will design, build, and maintain distributed backend systems in Java and Python, own features end-to-end, and collaborate with a highly technical team on AI-assisted development workflows. This 100% remote role is LATAM-friendly, offering ownership, growth, and the opportunity to impact product scale in

Qualifications

• 8+ years of software/backend experience.
• 5+ years with Python, building production-grade backend systems.
• Strong experience with Java.
• Hands-on AI/LLM-based development in production.
• Distributed systems, scalable architectures, and asynchronous processing.
• Experience with databases, message queues, and data processing pipelines.
• Docker and Kubernetes in production environments.
• Ownership mindset in startup or fast-paced environments.
• Advanced English level.

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

Skills

Python

Java

AI/LLM

Distributed systems

Async processing

Tools

Docker

Kubernetes

Kafka

RabbitMQ

Job description

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 , we’re proud to be one of the highest-rated recruitment agencies in the market.

We’re 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, you’ll 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.

Senior Backend Engineer

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

What’s 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.