Senior Full-Stack Engineer, AI-Focused

🔥 6 hours ago

🇦🇷 Argentina – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 23%

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LatamCent

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2023

💼 Consulting

📣 Marketing

🎯 Recruiter

Consulting • Marketing • Recruitment

LatamCent is a staffing and recruiting firm that specializes in connecting companies in the USA with top talent from Latin America. They focus on building remote and nearshore teams for various functions including sales, marketing, and IT, leveraging their expertise to help organizations recruit, hire, and retain the top 1% of talent in the region. With a commitment to providing high-quality candidates quickly, LatamCent helps businesses reduce hiring times and costs while enhancing their workforce with skilled professionals.

📋 Description

• Build and maintain AI-powered product features across frontend interfaces, backend services, APIs, the product builder, and Userflow's in-app SDK • Develop end-to-end experiences for Userflow's Adoption Agent and other AI-driven capabilities • Collaborate directly with the CTO and product team to define the technical roadmap and architecture for an AI-first product • Design and implement production-ready LLM workflows, including prompt engineering, RAG, tool calling, agent orchestration, and evaluation systems • Extend Userflow's MCP connector and build integrations for customers' AI tools and workflows • Own the reliability, latency, and cost efficiency of AI features • Establish metrics to measure technical performance and customer value • Use AI coding agents such as Claude Code in everyday development while establishing workflows, guardrails, and best practices • Work with product, design, engineering, and leadership to translate customer problems into technical solutions • Ship at least one AI-powered feature to production within the first 90 days • Improve the quality, performance, and delivery speed of AI-powered features • Deliver AI features that improve product adoption and customer retention • Establish reusable engineering patterns for building, evaluating, and deploying AI capabilities • Contribute to Userflow's transition toward an AI-first product architecture • Report directly to the CTO

🎯 Requirements

• 6+ years of professional experience building and maintaining production SaaS applications as a full-stack engineer • Strong proficiency in TypeScript and/or JavaScript across frontend and backend development • Experience with modern frontend frameworks and responsive, user-facing product interfaces • Solid experience with Elixir and Python • Understanding of high-volume WebSocket traffic and its impact on application architecture and infrastructure • Hands-on experience building and shipping LLM-powered features in production, including model APIs, RAG, tool calling, or AI agents • Experience designing and evaluating LLM workflows, including measuring output quality and reliability • Daily experience using AI coding agents such as Claude Code or similar tools • Ability to identify where human oversight and technical guardrails are necessary • Strong product mindset and ability to translate user problems into technical solutions and measure results • Ability to work independently, take ownership of technical decisions, and deliver features with minimal supervision • Clear communication and effective collaboration with engineers, product stakeholders, and executive leadership • English proficiency at C1 or C2 level • Preferred: experience building MCP servers, connectors, or agent-oriented tooling • Preferred: experience developing embedded JavaScript SDKs or in-app product experiences • Preferred: familiarity with LLM observability, tracing, monitoring, and evaluation tools • Preferred: experience with product-led growth, user onboarding, or product adoption platforms • Preferred: experience designing scalable AI architectures and managing model performance and inference costs • Preferred: experience working in small, product-focused engineering teams • Must maintain strong working-hour overlap with US-based leadership and product engineering teams

🏖️ Benefits

• Fully remote work arrangement • USD-based compensation determined based on experience and technical expertise • Direct collaboration with the CTO, product, and design teams • Significant autonomy and direct impact on the product • AI-driven engineering culture using AI coding agents • Opportunity to shape an AI-first product • End-to-end ownership across the full stack • Work on features used by more than 12 million end users

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