• Optimizar el embudo de incorporación y diseñar servicios de gestión de usuarios • Orquestar integraciones resilientes con proveedores externos • Establecer estándares de desarrollo y guiar el crecimiento de ingenieros senior

• Build and maintain the core multiplatform document system. You’ll own features end-to-end, from idea to production, React frontends, Node.js/Express backends, and PostgreSQL. • Ship to learn. Proactively instrument features, measure impact, seek user feedback, and iterate or kill based on what you discover. You treat metrics as a compass, not a report card. • Design and orchestrate agentic AI workflows using modern frameworks (LangGraph, Claude Agent SDK, MCP protocols) and integrate LLMs into product features via prompt chains, tool calling, and function execution. • Collaborate with engineers, designers, and leadership to shape the product roadmap. You’ll have a real voice in what gets built and why. • Build, maintain, and extend automation pipelines and connect them with AI agents, external APIs, webhooks, and cloud services on GCP.

Role Description Insurance is one of the world's largest industries and one of the most painful to interact with. Paper forms. Sluggish call centres. Three-week underwriting cycles. Claims that vanish into queues. We are rebuilding all of it on top of a modern platform and AI agents that actually do the work, not pretend to. You will not be picking up tickets. You will be deciding what to build, prototyping it on Monday, shipping a draft to a real customer by Friday, and improving it from real usage. We expect you to push the product, the codebase, and the way we work. We are looking for someone who treats AI as a creative material, not a feature on a roadmap. The next year of insurance is being defined right now. What gets automated, what gets reimagined, what gets thrown out. We want builders who want to be in that room and ship the answer. The team is small. The mandate is large. If your highest-energy work has historically come from solving real problems end to end, this is the seat. What You Will Do - Own outcomes, not tickets. Pick the biggest lever for our customers each sprint and drive it to live. Surface the next one yourself. - Build with AI as a primary tool, not a chatbot bolt-on. OCR, document understanding, generation, agent loops, evaluation harnesses. You decide where each fits. - Ship prototypes fast, then make them production-grade. A working demo on day three beats a perfect plan on day ten. - Work directly with customers. You will see real claims, real underwriting screens, real broker workflows. You will watch users hit dead ends and decide what to fix. - Raise the bar on the codebase. Reviews, refactors, testability, observability. Not as policy, as habit. - Push the team forward. Skills, agents, internal tools, engineering standards. Propose them, build them, get them adopted. Who You Are - You ship. Ideas without execution do not count for you. - High agency. You do not wait for a card to be assigned. You see what is worth doing and you start. - Strong opinions, loosely held. You make calls with incomplete information and change your mind when the evidence shifts. - Curious about the domain. Insurance is messy and full of weird incentives. That intrigues you, not annoys you. - Fluent with AI. You have shipped something real with LLMs or agents. You know where the magic ends and where you have to engineer carefully. - Care about humans on the other end. Insurance done right gives people peace of mind in their worst weeks. That is the point. Your Toolbox - Node.js + TypeScript + Nest.js on the back end - Vue (and some React) on the front end - GraphQL, MongoDB, Docker, AWS - AI work spans OpenAI, Anthropic, Google, plus a growing set of in-house skills and agents - You do not need to have used every piece. You do need to be the kind of engineer who picks up a new tool and is shipping with it within the week. What We Expect at This Level - 6+ years building production systems. Track record of complex, customer-facing software shipped, not just maintained. - Real AI experience. You have built and shipped at least one substantive AI-driven feature. POCs that died in a notebook do not count here. - Strong fundamentals. OO, design patterns, testing, web security, performance. You do not need a refresher. - Cloud comfort. AWS, Azure, or GCP. At least one in depth, the rest enough to hold a conversation. - Communication. You can explain a tradeoff to a non-technical stakeholder in two minutes and to an engineer in one. Not Suitable for the Role If… - You prefer tickets assigned to you over choosing what to build. - You measure your work in lines of code, not outcomes. - You see AI as a buzzword to put on your CV rather than a tool you have actually used in anger. - You want a process-heavy environment with detailed specs handed down from product. - You are looking for a maintenance role on a finished platform. Benefits - 100% Remote Work - 15 Days of Annual Leave - Annual Performance Bonus - Remote Work Allowance - Anniversary Bonus - Health Insurance - Company Activities and Events - Learning and Development Plan By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.

• Use AI-powered development tools as part of your daily engineering workflow to improve how you design, implement, test, debug, document, review, and ship software. • Designing, implementing, and maintaining APIs, services, and backend systems with a strong focus on scalability, reliability, and maintainability. • Experimenting with emerging AI development approaches and helping the team adopt practical, high-impact engineering workflows. • Identifying and solving complex technical challenges creatively and effectively. • Nurturing a team culture that fosters collaboration, high performance, continuous learning, and responsible experimentation. • Providing guidance and support to team members, helping them develop their technical skills and improve their modern engineering practices. • Monitoring and optimizing key system and product performance metrics.