Remote AI Engineer

HireLatam is a premier recruitment agency that places top Latin American talent in independent contractor roles in US companies. The company is hiring a Remote AI Engineer to build AI-powered internal tools and automations for a fast-growing marketing agency based in New York. The ideal candidate has strong proficiency in Python and/or JavaScript, experience building internal tools, and a bias towards shipping and iteration over perfection.

Requirements

• Design, build, and iterate AI-powered internal tools and automations that improve efficiency across creative operations, campaign management, and back-office functions
• Vibe-code software collaboratively with internal stakeholders, turning ideas and business needs into fast, functional MVPs
• Build integrations with core tools including Slack, Google Workspace, Notion, Frame.io, and digital ad platforms (Meta, Google, TikTok, etc.)
• Develop and deploy AI agents and multi-step workflows using LLM APIs (OpenAI, Anthropic, Gemini) with strong prompt engineering practices
• Implement retrieval-augmented generation (RAG) systems and structured output pipelines for internal knowledge bases and campaign data
• Build and maintain lightweight web applications and internal dashboards to support campaign tracking, creative operations, and KPI monitoring
• Develop automation for marketing workflows including lead scoring, campaign performance monitoring, and reporting pipelines
• Create AI-powered tools to assist campaign teams with content categorization, ad copy generation, and performance analysis
• Deploy and manage cloud-based applications using AWS, GCP, or Vercel
• Work with vector databases (Pinecone, Weaviate, Supabase) to build semantic search and AI-enhanced retrieval systems
• Leverage low-code tools (Zapier, Make, Retool) where appropriate to accelerate delivery
• Design AI systems with proper permission boundaries and secure handling of sensitive client and campaign data
• Document systems, maintain internal AI playbooks, and continuously improve tooling architecture as the company scales
• Monitor system performance, troubleshoot production issues, and proactively improve reliability and user experience
• Stay current on emerging AI capabilities and proactively recommend practical implementations aligned with company growth objectives

Benefits

• Generous Paid Time Off

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