Backend Software Engineer – Applied AI

Posted Sep 14

This is a fully remote position, open to applicants in Brazil, +4 more countries.

πŸ“‹ Description

β€’ Develop software powered by AI and incorporate Large Language Model functionalities into enterprise production systems.

β€’ Create and design autonomous AI agents, systems for tool-calling, and workflows for orchestrating multi-step tasks.

β€’ Utilize MCP or similar open integration standards to link AI models with external tools and platforms.

β€’ Construct and sustain scalable distributed software architectures employing REST/gRPC APIs alongside robust system design principles.

β€’ Enhance context window management and apply reliability patterns to ensure LLM execution at scale.

β€’ Carry out tasks throughout the complete software lifecycle, from experimentation and rapid prototyping to production maintenance.

β€’ Work collaboratively with diverse teams on impactful AI-driven software initiatives.


⛳️ Requirements

β€’ A minimum of 4 years of practical experience in software engineering, backend systems, or applied AI engineering.

β€’ Advanced skills in Python and/or Java for backend development and executing algorithms.

β€’ Direct and demonstrable experience in developing AI-driven software or integrating LLMs into enterprise-level applications.

β€’ Hands-on expertise in building autonomous AI agents and managing multi-step workflows.

β€’ Practical knowledge of the Model Context Protocol (MCP), custom tool-calling, or JSON-RPC adapters.

β€’ Solid foundation in distributed architectures, REST/gRPC API design, and reliability patterns.

β€’ Proven ownership mentality with the ability to manage rapid experimentation and strong production support.

β€’ Exceptional verbal and written communication skills in English.

β€’ Regular overlap with teams in Central Time (CT) and availability during standard business hours in Austin.


🏝️ Benefits

β€’ Ability to work remotely from LATAM.

β€’ Full-time contractor position.

β€’ Chance to engage with international challenges and innovative client projects.

β€’ Opportunities for career advancement.

β€’ Collaboration with diverse teams.

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