At a Glance
- Tasks: Transform AI ambitions into real systems that run in production.
- Company: Join Supermodular AI, a leader in AI transformation for enterprises.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic role with a focus on rapid experimentation and real-world problem solving.
- Why this job: Be at the forefront of AI innovation and make a tangible impact.
- Qualifications: Strong software engineering skills and experience with AI systems.
The predicted salary is between 70000 - 90000 £ per year.
Who We Are
At Supermodular AI, we help enterprises navigate AI Transformation. We believe in strategy through execution. Most organizations understand the potential of AI, but struggle to translate that ambition into real operational change. The challenge is rarely the technology itself. It is how AI fits into complex systems, workflows, and engineering organizations that have evolved over years. We believe AI transformation cannot be designed purely in strategy documents. The real strategy only emerges by building, deploying, and operating AI systems inside the organization. That’s why we work directly with enterprise IT and software teams to design and implement AI systems in real environments. This includes enabling engineering organizations to work in fundamentally new ways by introducing AI-native development practices, frameworks, and technical assets that change how teams build and operate software. It also includes building custom AI systems that unblock difficult modernization or harmonization efforts where traditional approaches have stalled. Our team has a strong track record of building high-impact AI systems and scaling engineering teams inside complex enterprises. If you enjoy solving hard enterprise problems and turning ambitious ideas into systems that actually run in production, you’ll feel at home at Supermodular AI.
Your Role
As a Forward Deployed Software Engineer at Supermodular AI, you will work directly with enterprise IT and software teams to turn AI into systems that actually run in production. You will be embedded in real enterprise environments, working alongside engineers and technical leaders to understand how systems operate today and where AI can create meaningful impact. Much of your time will be spent inside complex system landscapes, identifying opportunities, designing practical solutions, and building the systems that bring them to life. Your work will span the full lifecycle of an engagement. You will help shape technical approaches early, design architectures that fit enterprise constraints, and implement the systems that deliver real operational improvements. Many of the problems you will encounter are not fully defined at the start. Your role is to bring clarity to these environments by proposing practical solutions and building systems that move the organization forward. At its core, this role is about building systems that turn AI ambition into working capability.
Desired Skills And Qualifications
- You think AI-first and agentic-first, exploring how agents, tools, models, and workflows can solve a problem before defaulting to traditional software approaches.
- You are comfortable working at the edge of AI capabilities, experimenting with models, orchestration patterns, evaluation loops, and emerging tooling to discover what works in practice.
- You use AI as a default part of your development workflow, leveraging it to explore solutions, prototype quickly, and accelerate system design and implementation.
- You prefer rapid experimentation and iteration over long specification cycles, moving quickly from idea to prototype to working system.
- You are pragmatic about tools and technologies and will build whatever is required to solve the problem at hand, rather than relying on a fixed stack or predefined architecture.
- You can translate messy operational problems into working technical systems, even when requirements are incomplete or evolving.
- You have a strong software engineering foundation with experience designing and building production systems in distributed or cloud-native environments.
- You understand how to combine AI capabilities with traditional system primitives such as APIs, databases, messaging systems, and enterprise integrations.
- You are comfortable working directly with engineers, architects, and technical leadership inside enterprise environments.
- You have a practical mindset around reliability, performance, security, and observability when deploying systems that must operate in real production environments.
Hiring Process
Intro Interview > 2 Technical deep-dives > Culture & Offer
Senior Forward Deployed Engineer | UK employer: supermodular.ai
At Supermodular AI, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. Our team thrives in a dynamic environment where employees are empowered to tackle complex enterprise challenges using cutting-edge AI technologies. With ample opportunities for professional growth and a commitment to work-life balance, we ensure that our engineers not only contribute to meaningful projects but also develop their skills in a supportive and forward-thinking atmosphere.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Forward Deployed Engineer | UK
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Prepare for those interviews by practising common technical questions and scenarios. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format and types of questions you might face.
✨Tip Number 3
Showcase your projects! Whether it's through a portfolio or GitHub, let your work speak for itself. We love seeing how you’ve applied your skills in real-world situations, especially when it comes to AI systems.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for talent that can help us turn AI ambition into working capability.
We think you need these skills to ace Senior Forward Deployed Engineer | UK
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI shine through! We want to see how you think AI can transform enterprises and how you've engaged with it in your past work. Make it personal and relatable!
Be Specific About Your Experience:Don't just list your skills; tell us about the projects you've worked on that relate to AI and software engineering. Share specific examples of how you've tackled complex problems and what impact your solutions had. We love a good story!
Tailor Your Application:Make sure your application speaks directly to the role of Senior Forward Deployed Engineer. Highlight your experience with AI systems, cloud-native environments, and any relevant tools or frameworks. Show us why you're the perfect fit for this position!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re proactive and keen to join our team!
How to prepare for a job interview at supermodular.ai
✨Understand the AI Landscape
Before your interview, dive deep into how AI fits into complex systems and workflows. Familiarise yourself with recent advancements in AI technology and think about how they can be applied in real-world scenarios. This will help you demonstrate your understanding of AI transformation and its practical implications.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss specific examples where you've tackled messy operational problems and turned them into working technical systems. Use the STAR method (Situation, Task, Action, Result) to structure your responses, highlighting your ability to bring clarity and propose practical solutions.
✨Emphasise Rapid Experimentation
Since the role values rapid prototyping and iteration, come ready to share experiences where you've quickly moved from idea to prototype. Discuss any tools or methodologies you've used to accelerate system design and implementation, showcasing your comfort with experimentation.
✨Engage with Technical Leaders
During the interview, engage with the interviewers as if they were your future colleagues. Ask insightful questions about their current projects and challenges. This not only shows your interest but also helps you understand how you can contribute to their team and the enterprise environment.
