Backend Engineer – AI Agentic

🕒 March 20

🌐 Brazil, Mexico, +3 more countries – Remote

🇧🇷 Brazil – Remote 🇲🇽 Mexico – Remote 🇨🇴 Colombia – Remote 🇦🇷 Argentina – Remote 🇪🇨 Ecuador – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🔙 Backend Engineer

👻 Ghost score 57%

What it means: how likely this posting is sitting open without active hiring.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

• Design and implement complex AI agents and multi-agent workflows using frameworks like LangChain or LangGraph • Build and maintain scalable, high-performance backend services using Python to support AI-driven features • Develop and optimize Retrieval-Augmented Generation (RAG) pipelines to provide agents with accurate, context-aware information • Architect and manage vector storage solutions (Pinecone, Weaviate) to ensure efficient similarity search and data retrieval • Integrate Large Language Models (LLMs) with existing APIs and third-party services to enhance agent capabilities • Work closely with product owners, data scientists, and fellow engineers to translate ambitious AI requirements into production-ready code

🎯 Requirements

• Deep expertise in LangChain, LangGraph, or Semantic Kernel (3+ YEARS OF EXPERIENCE) • Senior-level proficiency in Python (6+ YEARS OF EXPERIENCE) and its ecosystem for building robust APIs • Proven experience working with Pinecone, Weaviate, or similar vector search engines • Strong understanding of Retrieval-Augmented Generation (RAG) and agentic design patterns • Collaborative team player mindset with an appetite for solving ambiguous, cutting-edge problems • Excellent verbal and written communication skills in Fluent English

🏖️ Benefits

• Work on international challenges • Collaborate with diverse teams • Growth opportunities in career • Flexibility in work hours