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Senior IA Engineers

intiveArgentina, Bolivia, Brazil, Chile, Colombia, Costa Rica, Cuba, Dominican Republic, Ecuador, El Salvador, Guatemala, Haiti, Honduras, Mexico, Nicaragua, Panama, Paraguay, Peru, Uruguay, Venezuela🌍 Remote
Full-time7-15
👁️ 0 views📝 0 applicationsPosted 9/5/2026Expires 11/4/2026
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Job Description

Join a diverse team of approx. 2000 professionals across four continents, driving innovation and growth within intive ’s technology hubs. Work alongside industry experts trusted by leading brands like Audi, BMW, Deichmann, Meta, NewsCorp, Tandem, Paramount, Vorwerk, and Warner Bros.

Discovery to create pioneering, sustainable digital experiences. At intive , agile thinking and deep industry expertise come together across Automotive & Mobility, Commerce, Financial Services, Healthcare & Life Sciences, and Technology, Media & Communication.

Be part of a team that’s shaping the future of digital innovation. What You Will Be Doing Design and develop Agentic AI solutions that solve complex business problems and deliver measurable value. Build, deploy, and maintain production-ready AI applications powered by Large Language Models (LLMs).

Design and implement Retrieval-Augmented Generation (RAG) architectures and knowledge retrieval pipelines. Build and orchestrate multi-agent systems using modern Agentic AI frameworks. Integrate AI services and agents with enterprise platforms, internal tools, and third-party applications.

Develop backend services and APIs using FastAPI, Flask, or similar technologies. Work with SQL and vector databases to support AI-driven applications and retrieval workflows. Implement memory management, tool calling, and human-in-the-loop workflows for AI agents.

Ensure scalability, security, reliability, and maintainability of AI solutions in production environments. You Are a Good Match If You Have 7+ years of experience in software engineering, with strong experience designing and delivering AI-powered applications.

Proven experience building solutions with Large Language Models (LLMs) in production environments.

Hands-on experience designing and implementing Agentic AI applications using frameworks such as: LangGraph, CrewAI, AutoGen, Semantic Kernel, OpenAI Agents SDK (or equivalent) Strong experience designing and implementing RAG architectures a

Required Skills

Large Language ModelsAgentic AILangGraphCrewAIAutoGenSemantic KernelOpenAI Agents SDKRetrieval-Augmented GenerationFastAPIFlaskSQLvector databases

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