Remote Staff Frontend Engineer: End-To-End Ai Ui Architect

Cookunity; Buenos Aires; Remote; ARS 181,747,000 - 272,620,000; Full time

Benefits offered by this job

Work Remotely

Flexible Time Off

Communication Stipend

Global Impact

Competitive Compensation

Job summary

vidIQ is hiring a frontend-leaning engineer who will own product surfaces end to end, from UI to backend APIs and data flows. You will shape how millions of creators experience vidIQ and help define how the engineering team builds software with AI as a collaborator.

This remote role welcomes candidates worldwide and offers growth in a fast, AI-native environment. You will work across the stack, ship AI-powered features, and drive your own roadmap while mentoring others and improving system

Qualifications

• At least 5 years of professional software development experience.
• Strong frontend focus with comfort on backend and API design.
• Ability to design APIs, write server-side code, work with databases, and debug cross‑boundary issues.
• Self-driven, decision-maker, owner mindset and mentoring experience.

Responsibilities

• Own product surfaces end to end across the stack.
• Build and modify backend APIs, services, and data flows as needed.
• Drive your own roadmap from user feedback, data, and codebase insights.
• Ship AI-powered features and ensure robust UX when AI output is uncertain.
• Improve architecture, performance, and system durability.
• Lead reviews and mentor teammates to improve code quality.

Skills

TypeScript

React

Next.js

Vite

Tailwind

AI tools

Tools

Node.js

Scala

Python

Redux

Redux Saga

Zustand

Job description

vidIQ builds software to help YouTube creators achieve their goals. Our mission is to advance the creator's journey with actionable data-driven insights and AI-powered tools. We are dedicated to our values of being creator-obsessed, lean and fast, and scientific. Having already supported millions of creators, we invite stunning new co-workers to join us in reaching millions more.

Imagine a product that reached over a million users without a traditional sales team. This product stands at the forefront of career evolution, where everyone can be their own brand with unlimited growth potential. That's the opportunity at vidIQ—an infinite market, a large and highly engaged customer base, and the chance to help scale the platform that delivers insights to millions of creators.

Discover more about vidIQ firsthand at

About the Team

Our vision is to build a personal copilot for every YouTube creator. We work in small, focused teams where people are expected to understand the problem, make decisions, and take ownership of the outcome.

We value people who are strong in their craft, communicate clearly, challenge ideas with respect, and follow through from problem to production.

We’re also an AI-native team. We build AI into our product and use it every day in how we work—from writing and reviewing code to debugging, testing, prototyping, and exploring new ideas.

About the role

This is a frontend-leaning role, but you won't stop at the frontend. You'll own entire product surfaces from end to end: the UI, the APIs behind it, the data it depends on, and how it performs in production. We expect you to understand the problem, decide what to build, and ship it.

You’ll shape how millions of creators experience vidIQ, and you'll help define how our engineering team builds software now that AI is a real collaborator.

This is a remote position open to candidates worldwide. Employment classification and engagement structure will be determined based on location, legal requirements, and mutual fit.

What you will do:

Own product surfaces end to end. You'll be the go-to owner for key parts of vidIQ, we serve over 1M daily active creators. You'll set their direction, track how they perform, and decide what to improve next.

Work across the stack. You'll build and change backend APIs, services, and data flows when a feature needs it, instead of waiting on another team.

Drive your own roadmap. You'll spot opportunities in user feedback, data, and the codebase, turn them into proposals, align with product and design, and deliver without needing to be managed closely.

Build AI-powered product experiences. You'll ship LLM-driven features across the stack, from model integration and prompts on the backend to streaming responses, error handling, and clear UX when model output is unpredictable.

Fix architecture and performance problems. You'll find bottlenecks and weaknesses anywhere in the request path, frontend or backend, and leave the system better than you found it.

Make AI part of how the team works. You'll use tools like Claude Code, Cursor, and GitHub Copilot every day, share what works, and help set team practices for using AI responsibly.

Improve durability. You'll test important workflows, add useful monitoring and error reporting, and own what you ship after it's live, whether you wrote every line or reviewed and refined AI-generated code.

Raise the bar through review and mentorship. You'll review code from other engineers, AI-assisted or not, and give feedback that helps others grow.

About You

You have at least 5 years of professional software development experience.

You're strongest on the frontend, but you're comfortable on the backend. You can design an API, write server-side code, work with databases, and debug problems that cross the client-server boundary.

You're self-driven. You don't need a detailed spec to get started, and you're happy making decisions, asking the right questions, and moving work forward on your own.

You act like an owner. When something you're responsible for breaks, underperforms, or confuses users, you notice and fix it before anyone asks.

You've led projects from concept to completion, including documenting the work and teaching others about it.

You care about product quality and leave codebases in better shape than you found them.

You write and speak clearly, and you can explain technical concepts to non-technical people.

You're confident with TypeScript, React, Next.js, Vite, and Tailwind.

You're a heavy, thoughtful user of AI tools. AI coding assistants and agents are part of how you plan, build, debug, test, and review every day. You know where they save you hours and where they fail, and you check AI output as carefully as you'd check a teammate's pull request.

You keep up with the fast-moving AI landscape and like trying new models, tools, and workflows.

Nice to have

Backend experience with Node.js, Scala, and/or Python, plus relational databases, caching, and queues

Experience with Redux, Redux Saga, and/or Zustand

Experience building LLM-powered features, such as streaming UIs, model APIs, prompt design, or evals

Experience with agentic coding workflows, such as running AI agents on multi-step tasks, writing custom rules or context files, or using MCP servers

Perks and Benefits

Work Remotely: Embrace the freedom to choose your ideal workspace anywhere in the world.

Flexible Time Off: We support a flexible vacation policy allowing you to take time off when you need to recharge.

Communication Stipend: Enjoy a monthly stipend to cover your phone and internet expenses, helping you stay connected effortlessly.

Global Impact: Join our diverse team that’s shaping the future of the creator economy across the globe.

Competitive Compensation: vidIQ believes in offering competitive compensation that reflects your skills, experience, and contributions. We ensure fairness through internal equity and geo-location based pay, with the upper range reserved for individuals demonstrating exceptional job knowledge and skills.

Our Commitment

At vidIQ, we dedicate ourselves to enabling creators of all kinds to succeed. We prioritize attracting diverse talent and fostering an environment that encourages collaboration, creativity, and personal growth. We are committed to building a company and a community where individuals thrive by being true to themselves and are inspired to do their best work every day.

Recruiter / Agency Self Promotion

Senior Cloud AI Engineer, Google Cloud (English)
Share Senior Cloud AI Engineer, Google Cloud (English)
_corporate_fare_ Google _place_ Mexico City, CDMX, Mexico; Buenos Aires, Argentina
**Mid**
Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
Share Senior Cloud AI Engineer, Google Cloud (English)
_info_outline_
**Please submit your resume in English - we can only consider applications submitted in this language.**
For Mexican applicants:
Only applications of candidates with Mexican citizenship will be evaluated for this role in compliance with the provisions of Article 7 of the Federal Labor Law.
In most instances, this position requires in-person interviews as part of the hiring process.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: **Mexico City, CDMX, Mexico; Buenos Aires, Argentina**.
**Minimum qualifications:**
/b> Bachelor's degree in Computer Science, related field, or equivalent practical experience.
/b> 6 years of experience in software engineering, cloud architecture, or technical consulting, including 2 years of experience deploying production Generative AI (GenAI) applications.
/b> Experience in Python and cloud computing principles (serverless, virtualization, secure networking).
/b> Experience building and orchestrating agents using Agent Development Kits (ADKs) or frameworks (LangChain, LlamaIndex, AutoGen).
/b> Ability to communicate in English fluently to communicate with global teams.
**Preferred qualifications:**
/b> Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field.
/b> Relevant Google Cloud certifications, such as Professional Cloud Architect or Professional Machine Learning Engineer.
/b> Experience deploying enterprise GenAI platforms (Gemini Enterprise), with deep understanding of AI security, governance, and compliance standards.
/b> Experience leveraging Large Language Model (LLMs) to deploy enterprise-scale multimodal solutions across text, image, video, and audio.
/b> Advanced experience implementing scalable RAG architectures connected to external productivity tools and enterprise databases.
/b> Proven track record leading technical project deployments and engineering teams on large cloud transformations.
**About the job**
The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive.
We help customers transform and evolve their business through the use of Google's global network, web-scale data centers, and software infrastructure.
As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.
As a Cloud AI Engineer, you will work directly with Google's most strategic customers on critical projects to help them transform their businesses using AI/ML technologies. You will help customers to develop, deploy, and manage custom AI solutions in production using Google Cloud technologies.
... (The rest of the Google block continues with EEO statements and other policy content, which is retained as it is protected).