Workera AI - Senior Fullstack Engineer
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Requirements
• 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 • 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 • Deep expertise delivering platform-critical, high-stakes backend projects where robustness, performance, and troubleshooting are non-negotiable • 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 • 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, insight generation, or decision-making • Strong systems thinking — ability to see how your backend work connects to a broader AI-driven platform and enterprise customers • Excellent written and verbal communication skills in English • 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 (almost no emails get sent around). We practice using Loom to demo our work. That's the gist of it - we can dive into other technologies used when we get to know each other. • Our founder is Kian Katanforoosh, an award-winning Stanford Computer Science Lecturer who has taught AI to over 1 million people, and our Chairman is Dr. Andrew Ng, co-founder of Coursera (NYSE: COUR), CEO of DeepLearning.AI, and founding lead of the Google Brain project.We’re learners, dreamers, and game-changers. Join us. Workera is committed to providing an inclusive and respectful environment where equal employment opportunities are available to all applicants and employees. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), national origin, age, disability, genetic information, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law.Hiring decisions are based on qualifications, merit, and business need. • We’re learners, dreamers, and game-changers. Join us.
Responsibilities
• Develop a strong understanding of Workera's AI-powered platform, customers, and business model • Get up to speed on our development process and complete a scoped starter project that touches every relevant part of the codebase — with a particular focus on backend systems • Identify and begin using AI tools and agentic coding workflows to improve your personal velocity • Identify opportunities to use AI tools and automation to increase leverage and impact in your function • Actively lead and deliver your first full project, owning backend architecture, build, and rollout end-to-end • Deeply understand our market position and communicate clearly in cross-functional discussions • Contribute to shaping best practices in operating as an AI-first engineering organization • Architect and own backend systems that are robust, performant, and built to scale • Confidently build and ship AI-powered features, troubleshoot production issues full-stack, and shape new technical and product initiatives • Please note as we are a dynamic and quickly growing scale-up, things are always subject to change*
Benefits
• As Workera scales its AI-native platform to serve global enterprise customers, we need senior engineering talent who can own critical backend systems end-to-end. This role exists to add to our EMEA engineering team, bringing someone with depth and ownership — shipping high-stakes, platform-critical features while advancing our AI-first engineering culture. • YOUR TEAM • YOUR TEAM • You’ll join a cross-functional team operating at the intersection of generative AI, enterprise software, and talent transformation. Your immediate engineering team consists of four engineers, supported by a product designer, product manager, and engineering manager, all based in the EMEA region. The team values deep work and async communication — with only a few regular touchpoints each week — so you’ll have plenty of uninterrupted time to build. • WHAT YOU’LL OWN • WHAT YOU’LL OWN • This isn’t a list of tasks. These are the outcomes you’re accountable for: • 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 • 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
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