Senior Ai Backend Engineer

Pyyne Digital; La Pampa; A distancia; ARS 136.732.000 - 197.502.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

100% remote (LATAM-friendly)

Company-provided laptop

Generous PTO & regional holidays

High ownership & autonomy

Descripción de la vacante

Pyyne Digital is seeking a Senior Backend Engineer to design, build and maintain scalable backend systems in a remote-friendly environment. The role emphasizes ownership, architecture discussions, and AI-assisted development workflows in a fast-moving startup.

You will work with Java, Python, distributed systems, and modern tech like Docker and Kubernetes, delivering reliable production services with performance and maintainability in mind. LATAM remote setup offered.

Formación

• 8+ years of software engineering or backend development.
• 5+ years with Python, building production-grade backends.
• Strong experience with Java.
• Hands-on AI/LLM-based development experience is preferred.
• Experience with distributed systems, databases, queues, and pipelines.

Responsabilidades

• Design, build, and maintain scalable backend services using Java and Python.
• Develop distributed systems with databases, APIs, queues, and data pipelines.
• Take ownership of features from design to monitoring and optimization.
• Build production-ready, reliable and high-performance systems.
• Collaborate with product and engineering teams to translate requirements.
• Improve performance, scalability, and operational efficiency.
• Leverage AI-assisted development tools to speed delivery while ensuring quality.
• Participate in architectural discussions and key technical decisions.
• Continuously improve development processes and standards.

Conocimientos

Python

Java

AI/LLM

Distributed systems

Databases

Message queues

Data processing pipelines

Startup ownership

Herramientas

Docker

Kubernetes

Descripción del empleo

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

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.