Senior Full-Stack Engineer, AI-Focused

This is a fully remote position, open to applicants in Argentina.

📋 Description

• Develop and sustain AI-driven product functionalities across frontend interfaces, backend services, APIs, the product builder, and Userflow's in-app SDK.

• Create comprehensive experiences for Userflow's Adoption Agent and other AI-centric features.

• Work closely with the CTO and product team to establish the technical roadmap and architecture for an AI-first product.

• Design and execute production-ready LLM workflows, including prompt engineering, RAG, tool calling, agent orchestration, and evaluation systems.

• Enhance Userflow's MCP connector and create integrations for clients' AI tools and workflows.

• Ensure the reliability, latency, and cost-effectiveness of AI features.

• Set up metrics to assess technical performance and customer value.

• Utilize AI coding agents like Claude Code in daily development while creating workflows, guardrails, and best practices.

• Collaborate with product, design, engineering, and leadership teams to convert customer challenges into technical solutions.

• Deliver at least one AI-powered feature to production within the first 90 days.

• Enhance the quality, performance, and delivery speed of AI-driven features.

• Provide AI features that boost product adoption and customer retention.

• Create reusable engineering patterns for developing, assessing, and deploying AI capabilities.

• Contribute to Userflow's shift towards an AI-first product architecture.

• Report directly to the CTO.

⛳️ Requirements

• Over 6 years of professional experience in building and maintaining production SaaS applications as a full-stack engineer.

• Strong expertise in TypeScript and/or JavaScript for both frontend and backend development.

• Experience with contemporary frontend frameworks and responsive, user-facing product interfaces.

• Solid background in Elixir and Python.

• Understanding of high-volume WebSocket traffic and its implications for application architecture and infrastructure.

• Practical experience in developing and deploying LLM-powered features in production, including model APIs, RAG, tool calling, or AI agents.

• Experience in designing and assessing LLM workflows, including evaluating output quality and reliability.

• Daily utilization of AI coding agents such as Claude Code or similar tools.

• Ability to discern where human oversight and technical safeguards are essential.

• Strong product-oriented mindset with the capability to translate user issues into technical solutions and measure outcomes.

• Capacity 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.

• Proficiency in English at C1 or C2 level.

• Preferred: experience in building MCP servers, connectors, or agent-oriented tooling.

• Preferred: experience in 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 in designing scalable AI architectures and managing model performance and inference costs.

• Preferred: experience in small, product-focused engineering teams.

• Must maintain a strong working-hour overlap with US-based leadership and product engineering teams.

🏝️ Benefits

• Fully remote work arrangement.

• USD-based compensation determined by experience and technical expertise.

• Direct collaboration with the CTO, product, and design teams.

• Significant autonomy and direct influence on the product.

• AI-driven engineering culture utilizing AI coding agents.

• Opportunity to shape an AI-first product.

• End-to-end ownership across the full stack.

• Work on features utilized by over 12 million end users.