Forward Deployed Ai Engineer (Python) - Remote -Latin America

Fullstack

Santa Fe Capital

Remoto

ARS 90.873.000 - 181.747.000

Tempo pieno

2 giorni fa
Candidati tra i primi

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Vantaggi offerti da questo lavoro

Remote work from LATAM
Company-provided laptop
Generous PTO & regional holidays

Descrizione del lavoro

Prometeo Talent partners with a US-based cybersecurity startup to hire a Senior Backend Engineer who will design, build and scale distributed backend services in Java and Python. You’ll own features end-to-end, leverage AI-assisted development workflows, and collaborate with a highly technical team in a fast-paced environment.

The role requires 8+ years in software engineering, strong Python/Java experience, and hands-on AI/LLM development.

Competenze

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

Mansioni

  • 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.

Conoscenze

Python
Java
AI/LLM
Distributed systems
Docker
Kubernetes
Ownership mindset
English

Strumenti

Docker
Kubernetes

Descrizione del lavoro

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 , 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.

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