This role is ideal for a driven engineer who thrives on automation, optimization, and scalable infrastructure. You should bring deep backend experience and a strong understanding of LLM-driven workflows such as prompt engineering, RAG, and automated data pipelines.

Requirements:

• Design and deploy systems that eliminate manual processes, with strong emphasis on observability, reliability, and graceful failure recovery.
  
• Leverage LLMs to parse and process massive datasets, applying intelligent classification and refinement across iterative workflows.
• Build automation frameworks and tools that are scalable, maintainable, and reusable across Reddit's content ecosystem

What you'll do:

• Collaborate cross-functionally with engineering, product, and data teams to align systems with product goals and long-term strategy.
  
• Own the full development lifecycle: architecture, development, testing, experimentation, and launch.
  
• Write clean, well-documented code and contribute to design reviews, architecture decisions, and development standards.
  
• Build and maintain APIs, middleware, and database structures to enable data interoperability across systems.
  
• Troubleshoot performance bottlenecks, integration challenges, and ensure high system availability.
  
• Uphold best practices in security, data privacy, testing, and documentation.
  
• Proactively participate in agile rituals (planning, reviews, retrospectives), contributing to a high-trust, collaborative team culture.
  
• Identify technical risks early and drive scalable solutions.

What you'll do:

• 8+ years of professional backend software development experience, ideally working on large-scale distributed systems.
  
• Expertise in Python (required), with proficiency in Go a strong plus.
  
• Deep understanding of distributed systems, microservices architecture, and high-throughput application design.
  
• Experience building and maintaining APIs (GraphQL and REST), as well as working with HTTP protocols.
  
• Solid experience with technologies like Kafka, Redis, RabbitMQ, and both SQL/NoSQL databases.
  
• Familiarity with engineering best practices: CI/CD, test automation, A/B testing, code reviews, and scalable documentation.
  
• Strong system design skills with the ability to build maintainable data structures and workflows independently.
  
• Clear, concise communication, comfortable collaborating in remote environments and across diverse teams.
  
• BS in Computer Science or equivalent practical experience.

Bonus qualifications:

• Hands-on experience with LLMs, RAG pipelines, or general ML/AI infrastructure.
• Previous work in content classification, search, or personalization systems.
• Passion for building innovative tools in ambiguous, fast-moving environments.

Why Join

• 100% remote work from Argentina
• Competitive hourly compensation in USD
• Flexible schedule aligned with your time zone
• Opportunities to work with cutting-edge technologies like LLMs and scalable AI systems
• Transparent, streamlined matching process
• Access to a global community of senior engineers and ongoing support