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Sr. AI Engineer (Customer Facing) – LATAM

AI Engineer Full-time LATAM

Job details

Not specified Salary
LATAM Eligibility
Senior Experience
Full-time Employment

About this role

Role overview Build production AI applications for enterprise customers across Latin America, serving as a technical partner from discovery through delivery. This customer-facing position combines applied machine learning and agent development with workshops, project guidance, and collaboration across customer and internal teams. It is remote across the LATAM region and reports to a regional sales director.

Responsibilities - Lead customer discussions to understand business requirements and shape them into robust AI solutions. - Architect and integrate intelligent agents for multi-step workflows, including automation informed by logs, APIs, and other infrastructure signals. - Develop retrieval-augmented generation pipelines that ground language model behavior in customer-specific knowledge. - Guide projects through data preparation, model development, deployment, monitoring, and optimization. - Work alongside customer data science teams and internal solutions, engineering, and product groups to integrate solutions and enable customers to build applications. - Share customer feedback with product teams and maintain clean, scalable Python implementations.

Requirements - Five or more years of hands-on AI/ML engineering or backend systems experience, with recent exposure to language models or agents. - Strong Python skills and a track record building scalable backend services or APIs. - Working expertise in machine learning, deep learning, generative AI, language model platforms, and agent frameworks such as LangChain, LangGraph, or CrewAI. - Experience with vector databases such as Pinecone, Weaviate, or FAISS. - Ability to partner with enterprise stakeholders, present technical material, work independently, and manage multiple projects. - Full professional proficiency in Spanish and English (ILR 4 / CEFR C1 or higher); customer conversations, workshops, and deliverables are in Spanish, while internal collaboration is in English.

Nice to have - Cloud platform experience, MLOps knowledge, or a background in AI services or startups.

Benefits and work setup - Remote work across Latin America, with an opportunity to help establish a new business area.

Skills detected in the listing

PythonRequirements GatheringStakeholder ManagementAWSGCPAzureMachine LearningLLM
Detected Nov 5, 2026
Last verified Nov 12, 2026

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