Founding Senior Full Stack Engineer [High Salary]

Fractal
London
5 months ago
Applications closed

Related Jobs

View all jobs

Co-Founder / CTO Opportunity – AI Tech Recruitment Start-Up

Co-Founder / CTO Opportunity – AI Tech Recruitment Start-Up

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Western Europe Practice Head - Data Science (Machine Learning/Artificial Intelligence (ML/AI)

Vice President Data Science

Package: £60-80k+ and Equity Opportunity This is ahigh-reward position for an unyieldingly determined individualpassionate about leading the forefront of the Intelligence Age,enabling human organisations to work with increasingly complexsystems of agents. Our Founders have built, scaled, and exited techcompanies including an IPO and, most recently, a $100m sale in2021. You will join our Founding Team, owning equity in thebusiness, and valued as an owner, from Day 1. We value high-agency,high-clock rate, and high-tenacity. Is this you? Does the prospectof pioneering human-agentic systems excite you? We’d like to hearfrom you. About Fractal Fractal is creating the first ‘Human xAgentic Orchestration Layer’. This layer sits across both human andagent intelligence, passing work from human to machine (model,agent, tool), and back again. 92% of Fortune 500 companies useGPTs, but there has been a less than 1% shift in holistic companyoutput. Simply put, AI is only being called at the task-level. Thesolution is a new system for work, human-agentic systems. Our coreproduct, Fractal, is a platform that enables companies to build,manage, and scale human-agentic teams through graph-based workflowmaps, delegating specific nodes to the right human or machine, atthe right time. Our mission? To enable any business in the world topunch above their weight and scale independent of headcount. Aboutthe Role As part of the Founding Team, you'll be at the forefrontof defining how AI orchestration works, looks, and feels at scale.You will propel and co-shape our Software Engineering team todefine and build world-beating product. Working tight with ourMachine Learning team, you will work across the full stack of ourplatform, developing its capabilities directly alongside our CTO.You will be expected to take ownership and initiative to pushFractal as far as possible, enabling our team to lead and win a new$1.5Trillion market. You will have the opportunity to learn newtechnologies and apply them in a fast-paced environment, seeing thedirect impact of your work in the product rapidly. From design todeployment, you'll be part of a cycle where your contributionsquickly translate into real-world applications, helping shape thefuture of our product. As part of the Founding Team, you'll haveunprecedented influence in shaping not just our product, but thefuture of how organisations operate with AI. As part of theFounding Team, you'll have unprecedented influence in building ourproduct and a front row seat to what we view as the most excitingproblem of our time: creating the systems that powerfully integratean exponentially smarter alien intelligence into the lives of everycompany in the world. Responsibilities Front-end: - Building userinterfaces using HTML, CSS, and TypeScript - Working with front-endframeworks like React, Angular, or Vue.js - Ensuring responsivedesign and cross-browser compatibility - Optimizing applicationperformance and load times Back-end: - Developing server-side logicand APIs in Python and using Django - Managing databases andwriting queries - Implementing security measures and authentication- Working with and maintaining servers and deploymentinfrastructure Additional ownership: - Version control (using Git)- Testing and debugging across the entire stack - Collaboratingwith designers, product managers, and other developers -Participating in code reviews and documentation - Optimizingapplications for scalability Required Experience Your experiencewill match well with the following. We are not box tickers. Aboveall, we value drive, work rate, and tenacity. Education andQualifications: - Bachelors/Masters degree in Computer Science,Physics, Engineering, or related field (though not always required)- Portfolio of personal or professional projects. The moreindepednent you are, the better. Technical Skills and Experience: -5+ years of development and engineering experience - Strong abilityin JavaScript/TypeScript - Experience with at least two majorfront-end framework React and one other - Familiarity with Pythonand other back-end languages like Java, or Node.js - Databaseexperience (both SQL and NoSQL) - Understanding of web protocolsand REST APIs - DevOps knowledge (CI/CD, deployment) CandidatesShould Also Have Experience - Building complete web applicationsfrom start to finish - Working in an Agile development environment- Collaborating with cross-functional teams - Writing clean,maintainable code - Problem-solving and debugging across differentlayers - Experience with version control systems - Working in Cloudcomputing environments - Experience with ML and LLMs useful Youdon’t need 100% of the above experience to be a good match! What WeOffer With equity, you will be treated and compensated like anowner from day one. - £60-80k salary, flexible to experience +Equity. You should want to be an owner more than you want to be anemployee. - Opportunity to shape the future of AI product as partof the Founding Team - Direct impact on product development andcompany direction - Work with cutting-edge AI technologies andsolve novel technical challenges - Competitive compensation packageincluding equity - Flexible work arrangements, with the ability tomeet in London. Our office is by Old St. - Continuous learning anddevelopment opportunities - Work directly alongside the Foundersand influence company strategy - Chance to be a Founding Teammember and shape the future of work.

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Portfolio Projects That Get You Hired for AI Jobs (With Real GitHub Examples)

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

AI Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.