Chief Agentic Ai Engineer: Build Autonomous Agents

Epam Systems; La Pampa; A distancia; ARS 181.747.000 - 272.620.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

100% remote work (LATAM)

Direct impact on product growth

Company laptop and equipment

Generous PTO and regional holidays

High ownership and autonomy

Descripción de la vacante

Prometeo Talent is partnering with a fast-growing US-based cybersecurity startup to hire a Senior Backend Engineer. You will design, build, and maintain scalable backend services using Java and Python in distributed systems.

This role emphasizes ownership and AI-assisted development within a highly technical team. The ideal candidate has extensive Java and Python experience, hands-on AI/LLM development, and a strong ownership mindset.

Formación

• 8+ years of software engineering or backend experience.
• 5+ years of professional Python backend experience.
• Strong Java experience.
• Hands-on AI/LLM-based application development experience.
• Experience building AI-driven features or agentic workflows in production.
• Solid understanding of distributed and scalable systems.
• Experience with databases, message queues, and data pipelines.
• Hands-on Docker and Kubernetes in production.
• Owns features end-to-end with initiative and fast iteration.

Responsabilidades

• Design, build, and maintain scalable backend services using Java and Python.
• Develop distributed systems with databases, APIs, queues, and data pipelines.
• Take full ownership of features from design to monitoring and optimization.
• Build production-ready systems with focus on reliability and performance.
• Collaborate with product and engineering teams to translate requirements into solutions.
• Improve system performance, scalability, and operational efficiency.
• Leverage AI-assisted development tools to accelerate delivery while maintaining quality.
• Participate in architectural discussions and key technical decisions as the company scales.
• Continuously improve development processes, tooling, and engineering standards.

Conocimientos

Python

Java

AI/LLM development

Distributed systems

Docker

Kubernetes

Ownership mindset

English (Advanced)

Herramientas

Docker

Kubernetes

Descripción del empleo

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.

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.