Remote Full Stack Software Developer

Draycir Ltd
Leicester
3 months ago
Applications closed

Related Jobs

View all jobs

Software Engineer

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

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

Senior Machine Learning Engineer

Staff Machine Learning Engineer (NLP, LLMs) - new PurpleAI product

New Stack Developer

At Draycir, we are dedicated to creating innovative and high-quality software solutions that drive business success. Our work environment fosters creativity and collaboration, making it the perfect place for talented software developers to grow and thrive. We are looking for a passionate Full Stack Software Developer to join our team. In this role, you will contribute to the development of Credit Hound, our automated accounts receivable application, and PayThem, an advanced payment platform. Both products are designed to streamline and automate critical business processes, and help companies get paid faster. If you have a love for coding and are eager to make a tangible impact, this role is for you. Design, develop, and maintain web applications using React, Angular, TypeScript, and .NET Core, with a strong emphasis on both front-end and back-end development. Develop and maintain RESTful APIs, ensuring seamless integration between front-end and back-end services, with expertise in C#. Write and maintain unit, integration, and end-to-end tests to ensure code quality. Hands-on experience with deploying, managing, and monitoring applications on Azure. Familiarity with Azure DevOps for version control, build automation, and release management. Experience with or interest in integrating Artificial Intelligence and Machine Learning models, particularly using tools and models from OpenAI. Bachelorʼs degree in Computer Science, Engineering, or related field, or equivalent work experience. Minimum of 3 years of experience in software development, with a focus on full stack development. A passion for coding, continuous learning, and staying updated with the latest industry trends and technologies. Enjoy the flexibility of hybrid working arrangements, combining remote work with time in the office. Start with 20 days of standard holiday, plus Bank Holidays, to ensure you have time to recharge and unwind. Benefit from a company contribution pension plan to support your future financial security. We provide up to 10 days of sick pay, parental leave, and comprehensive coverage including death in service life cover, critical illness cover, and income protection cover. If youʼre ready to take on new challenges and contribute to cutting-edge software projects, apply today by emailing your C.V. Strictly no agencies/recruitment services.

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.