Software Engineer

Luffy AI
Abingdon
1 month ago
Applications closed

Related Jobs

View all jobs

Software Engineer / Computer Science Placement

Software Engineer (Python React)

Software Engineer Lead

Software Engineer - Medical Device

Software Engineer - £50,000 - £65,000 per year - Dorset

Software Engineer

The Company

Luffy AI is an exciting high-tech startup developing adaptive neural networks for industrial control & robotics. Luffy specialises in “Micro AI” controllers that can be trained in simulation on digital twins and successfully transferred into real world systems. The Micro AI controllers can be deployed on existing controller hardware with a small footprint and no internet connection.


Our networks use neural plasticity to learn the dynamics of the equipment they are placed in and continue to adapt long after training. These innovations allow us to overcome the difficulty of applying AI in control system applications.


Our transformational AI technology allows process industries and manufacturers to improve productivity and save energy, and allows industrial automation vendors to simplify and extend the operating envelope of their machines. This revolutionary control technology is a key enabler of Industry 4.0, with huge potential in foundation industries such as metals, glass and cement manufacturing, as well as in automation sectors such as electric motors and robotic systems.


The Role

We are looking for a skilled and experienced Software Engineer to join our multidisciplinary delivery team. The team is responsible for building simulation models, (digital twin simulations), training AI controllers and deploying the developed AI controllers into industrial customer hardware.


As a Software Engineer, your main responsibility is writing clean and efficient code. The ideal candidate has strong tenure building software solutions in Python and at least one compiled language, such as C++, C, C# or Rust. To be successful in this role, having experience in developing and deploying applications in Windows environments is essential.


Key Responsibilities:

  • Contribute to the design, development and ongoing support of our Simulation Modelling and AI Control software products.
  • Participate in code reviews to ensure adherence to best practices and high-quality code.
  • Collaborate closely with cross-functional teams, product managers and other stakeholders to meet customers’ needs.
  • Troubleshoot and resolve complex technical issues.
  • Participate in daily stand-up and regular refinement and planning meetings as part of a team-based, Scrum environment.
  • Work autonomously and pair up with team members when appropriate.


Required Qualifications and Experience:

  • BSc in Computer Science or a related field.
  • 3+ years of experience in a commercial setting as a software engineer.
  • Proven experience in developing and maintaining complex code bases in collaboration with other developers.
  • Experience with Windows development toolchains (Visual Studio, MSBuild, etc.)
  • Experience of Windows GUI development (WinForms, WPF, or similar frameworks)
  • Experience of creating Windows installers for applications developed in different languages would be valuable
  • Strong proficiency in Python and at least one compiled language
  • Excellent understanding of software development principles, OOP, API design, algorithms, design patterns, and best practices.
  • Commercial experience with Git, continuous integration, and automated testing.
  • Strong problem-solving skills and the ability to think critically and creatively.
  • Good communication and teamwork skills.
  • Proven track record of building and shipping high performing, reliable software products.
  • You have worked as a member of an Agile team (preferably Scrum).
  • Fluent in English with excellent written and verbal communication skills.


Behaviours and personal characteristics:

  • Passionate about writing robust, efficient code that is well thought out and tested.
  • Fast learner, comfortable picking up new technologies and techniques.
  • Product focused, good prioritisation skills.
  • T-shaped person, deep expertise in a few areas but able to be a generalist when needed.
  • Team player.
  • Enjoys teaching junior programmers how to improve their code.
  • Strong organisational skills.


Benefits:

  • Full time salary of £40k - £65k, depending on experience and capability assessment during the interview process.
  • EMI share options scheme.
  • 25 days annual leave, plus bank holidays

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.

Navigating AI Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

The field of Artificial Intelligence (AI) is growing at an astonishing pace, offering a wealth of opportunities for talented professionals. From machine learning engineers and data scientists to natural language processing (NLP) specialists and computer vision experts, the demand for skilled AI practitioners continues to surge in the UK and globally. AI career fairs present a unique opportunity to connect face-to-face with potential employers, discover cutting-edge innovations, and learn more about the rapidly evolving landscape of data-driven technologies. Yet, attending these events can feel overwhelming: dozens of companies, queues of applicants, and only minutes to make a great first impression. In this detailed guide, we’ll walk you through strategies to prepare for AI career fairs, provide you with key questions to ask, highlight examples of relevant UK events, and reveal the critical follow-up tactics that will help you stand out from the crowd. By the end, you’ll be armed with the knowledge and confidence to land your dream role in the ever-growing world of Artificial Intelligence.

Common Pitfalls AI Job Seekers Face and How to Avoid Them

The global demand for Artificial Intelligence (AI) specialists continues to rise, with organisations across industries keen to implement machine learning, deep learning, and data-driven insights into their operations. Yet, as the market for AI professionals flourishes, so does the level of competition among candidates. Talented individuals who may otherwise be qualified often stumble on common pitfalls that can hinder their success in securing an AI-related role. These pitfalls can lie in their CV, interview approach, job search strategy, or even their understanding of what AI employers are looking for. This article aims to help job seekers in the UK’s AI sector—whether you’re fresh out of university, transitioning into AI from another field, or looking for a senior-level position—avoid the most common mistakes. We’ll discuss how to stand out in a crowded AI job market by improving your CV, acing interviews, and conducting an effective job search. Read on to discover the typical missteps AI professionals make when seeking employment and learn the strategies to avoid them.

Career Paths in Artificial Intelligence: From Research to Management – How to Progress from Technical Roles to Leadership and Beyond

Artificial Intelligence (AI) stands at the forefront of technological innovation, shaping everything from healthcare diagnostics to autonomous vehicles and natural language processing. With the UK widely recognised as a growing hub for AI research and development, there has never been a better time to explore a career in artificial intelligence—or to advance your current trajectory within the field. A key question that often arises is: How can professionals move from hands-on technical roles in AI to leadership and management positions? This comprehensive guide will walk you through the evolving career landscape in AI, from entry-level posts to executive roles. We will examine in-demand skills, recommended pathways for professional development, and strategies to help you seamlessly ascend from technical responsibilities to strategic leadership. Whether you’re a recent graduate, a self-taught data whizz, or an experienced machine learning engineer aspiring to lead teams, this article will provide you with practical insights tailored to the UK’s vibrant AI sector.