Senior Backend Engineer, Ai Chatbot Platform (Remote)

Félix; Santa Fe Capital; Remote; ARS 2,500,000 - 4,000,000; Full time

Benefits offered by this job

100% remote

LATAM-friendly policy

Laptop provided/mentoring

Generous PTO

Job summary

Félix is seeking a Senior Backend Engineer to design, build, and scale backend services in a startup environment. You will own features end-to-end, collaborating with a highly technical team on distributed systems and AI-assisted development workflows.

The role requires strong Java and Python experience, Docker/Kubernetes in production, and an ownership mindset to deliver reliable, high-performance systems while shaping the platform as the company scales.

Qualifications

• 8+ years of software/backend experience.
• 5+ years with Python in production.
• Hands-on Docker and Kubernetes in production.

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 ownership of features throughout their lifecycle 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 technical solutions.
• Improve system performance, scalability, and operational efficiency.
• Leverage AI-assisted development tools to accelerate delivery while maintaining code quality.
• Participate in architectural discussions and contribute to key technical decisions.
• Continuously improve development processes, tooling, and standards.

Skills

Python

Java

Docker

Kubernetes

AI/LLM development

Distributed systems

Asynchronous processing

Advanced English

Tools

Kafka

RabbitMQ

Job description

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.