Backend Software Engineer – Applied AI

Job not on LinkedIn

🕒 September 14

🌐 Brazil, Ecuador, +3 more countries – Remote

🇧🇷 Brazil – Remote 🇪🇨 Ecuador – Remote 🇵🇪 Peru – Remote 🇨🇱 Chile – Remote 🇦🇷 Argentina – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 29%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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In All Media

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

📣 Marketing

☁️ SaaS

Consulting • Marketing • SaaS

In All Media is a global community-driven service organization specializing in agile development services. The company focuses on developing digital solutions through a collaborative approach that leverages swarming intelligence and team dynamics. They are dedicated to aligning industry needs with the interests of their technical community members, who possess extensive experience in various domains such as UX/UI design, quality engineering, cloud computing, big data, Salesforce, and more. In All Media emphasizes a secure development environment and a strong collaborative spirit, striving for innovation and excellence in software production. Their model relies on pre-established teams with substantial past experience working together, ensuring efficient and effective delivery of customized development solutions.

📋 Description

• Build AI-powered software and integrate Large Language Model capabilities into production enterprise systems • Design and develop autonomous AI agents, tool-calling systems, and multi-step task orchestration workflows • Leverage MCP or equivalent open integration standards to connect AI models with external platforms and tools • Build and maintain scalable distributed software architectures using REST/gRPC APIs and strong system design principles • Optimize context window management and implement reliability patterns for LLM execution at scale • Execute across the full software lifecycle, from experimentation and rapid prototyping to production support • Collaborate with diverse teams on high-impact AI-powered software projects

🎯 Requirements

• 4+ years of hands-on software engineering, backend systems, or applied AI engineering experience • Advanced proficiency in Python and/or Java for backend development and algorithm execution • Direct, proven experience building AI-powered software or integrating LLMs into enterprise-grade applications • Hands-on experience developing autonomous AI agents and multi-step workflows • Practical experience using Model Context Protocol (MCP), custom tool-calling, or JSON-RPC adapters • Strong grounding in distributed architectures, REST/gRPC API design, and reliability patterns • Proven ownership mindset and ability to navigate rapid experimentation and robust production support • Excellent verbal and written English communication skills • Consistent overlap with teams in Central Time (CT) and availability during standard Austin business hours

🏖️ Benefits

• Remote work from LATAM • Full-time contractor arrangement • Opportunity to work on international challenges and innovative client projects • Career growth opportunities • Collaboration with diverse teams

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