Senior Fullstack Engineer

• Architect and own backend systems that are robust, performant, and built to scale with a growing enterprise customer base
• Lead full projects end-to-end - owning scoping, architecture, build, and rollout - within a small autonomous team
• Ship AI-powered product features using agentic coding workflows and LLM integrations as a core part of how you build
• Identify and drive cross-team technical initiatives that advance Workera's AI-first engineering organization
• Troubleshoot and resolve production issues throughout the full stack with speed and confidence
• Contribute on the frontend (Phoenix + React) when needed, bringing a full-stack perspective to backend-led ownership

HOW YOU'LL RAMP

We don't expect you to figure it out alone. Here's what great looks like at each stage:

First 30 Days - Learn the Machine

• Immerse yourself in Workera's platform, customers, and the problems we're solving. You'll shadow key workflows and understand how AI is embedded in day-to-day operations across teams
• Get fully up to speed with our development process and begin using AI tools and agentic coding workflows to learn and contribute to the codebase

By 90 Days - Ship Something Real

• Own your first meaningful deliverable and demonstrate end-to-end execution
• Be fully up to speed with our development process and using AI tools and agentic coding workflows to learn about and contribute to the codebase
• Deliver a project in a small team that touches every relevant part of the codebase, and be ready to troubleshoot production issues throughout the stack

By 6 Months - Multiply Your Impact

• Operate with full autonomy in your domain; your team relies on your judgment
• Have built or deployed at least one AI-assisted workflow that the team adopts
• Lead a full project, owning scoping, architecture, build, and rollout end-to-end
• Identify opportunities to use AI tools and automation to increase leverage and impact in your team
• Deeply understand our market position and communicate clearly in cross-functional discussions

We're a fast-moving company - the scope and shape of this role will evolve as we do.

Do you have experience in Terraform?, * 7+ years of software engineering experience with a strong backend specialization in a SaaS or startup environment - full-stack capability is valued, but your heart is in the backend

• Practical experience building scalable backend systems top to bottom - ideally in Elixir/Phoenix/PostgreSQL; Go, Erlang, or Clojure backgrounds also considered; a proven ability to learn new technologies quickly is a must if you don't have Elixir experience
• Deep expertise delivering platform-critical, high-stakes backend projects where robustness, performance, and troubleshooting are non-negotiable
• Day-to-day use of AI tools to enhance personal productivity (e.g., Claude Code or equivalent); bonus for experience building user-facing GenAI features
• Strong user and customer orientation - you understand and optimize user flows, not just code
• Willingness and ability to contribute on the frontend when needed (Phoenix + React)
• 2+ years working with a fully remote, async team
• Excellent written and verbal communication skills in English
• Comfort working in an AI-first environment where intelligent automation and experimentation are part of daily operations, with demonstrated ability to leverage AI tools (e.g., Claude, ChatGPT, or equivalent) to improve productivity and decision-making
• Strong systems thinking - ability to see how your backend work connects to a broader AI-driven platform and enterprise customers

The details: remote work & tech stack

You should be located in the UK, Ireland, or the Netherlands. You are free to choose working hours that suit you best, as long as there is an overlap with your team for most of the day.

Our stack primarily consists of Elixir + PostgreSQL on the backend and Phoenix on the frontend (with some pockets of React). We monitor performance using Sentry, and our platform is hosted on AWS, running on Docker containers defined in Terraform. Our platform is AI-native, and we make extensive use of LLMs in our application. Our code lives on GitHub - in fact, GitHub, Slack and Linear is where most of the collaboration happens. We practice using Loom to demo our work.

Everyone's racing to build AI. Workera exists for the 8 billion people who have to work alongside it. While the world's attention is on creating new tools, someone has to solve the other side of the equation: the humans. The workforce is going through the biggest transformation in a generation and most organizations are navigating it blind, without the data to understand what their people can actually do, where the gaps are, or how to close them fast enough. That's what we build. Workera's skills intelligence platform is the critical infrastructure for the AI era. It's the layer that lets organizations understand, mobilize, manage, and develop their talent with precision. Trusted by the Fortune 500 and powered by proprietary AI agents, we're the company helping the world's largest organizations not just survive the transition to AI, but lead it., At Workera, AI isn't a feature we sell - it's how we operate. Every team member is expected to: * Use AI daily. AI assistants, copilots, and automation tools are part of your stack - not optional extras. We expect you to actively experiment with new tools and push the boundary of what's possible in your function. * Build your own leverage. Our marketers write code. Our PMs build automations. Our ops team deploys agents. If a workflow can be automated, you're expected to automate it - or work with someone who can. * Think in systems, not tasks. We value people who build repeatable, scalable solutions over people who grind through one-off work. Your goal is to make your function run smarter, not just harder. AI fluency is a cultural expectation, not a line item on a job description. About Workera We're a Silicon Valley company backed by NEA, Jump Capital, and Owl Ventures. Our founder is Kian Katanforoosh, an award-winning Stanford Computer Science Lecturer who has taught AI to over 1 million people. Our Chairman is Dr. Andrew Ng, co-founder of Coursera, CEO of DeepLearning.AI, and founding lead of the Google Brain project. Our clients include Accenture, Siemens Energy, Samsung, and the United States Air Force. Named to Fast Company's Most Innovative Companies list alongside Microsoft and Canva. Recognized by the World Economic Forum's Tech Pioneers, Inc 5000, and Josh Bersin's HR Tech AI Trailblazers. In a world where every company claims to 'do AI', at Workera, it's actually in our DNA.