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 team environment with a focus on rapid experimentation and real-world solutions.
- 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 48000 - 72000 £ 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 one thing: 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 Software Engineer | UK in London employer: supermodular.ai
At Supermodular AI, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to tackle complex enterprise challenges head-on. As a Senior Forward Deployed Software Engineer, you will have the unique opportunity to work directly within enterprise environments, collaborating with talented engineers and technical leaders to drive meaningful AI transformation. We offer a supportive environment that encourages rapid experimentation, continuous learning, and professional growth, making us an excellent employer for those looking to make a significant impact in the field of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Forward Deployed Software Engineer | UK in London
✨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 technical deep-dives! Brush up on your coding skills and be ready to discuss your past projects. We want to see how you think and solve problems, so practice explaining your thought process clearly.
✨Tip Number 3
Show your passion for AI! When you get the chance, share your thoughts on recent trends or projects you've worked on. We love seeing candidates who are genuinely excited about the field and eager to innovate.
✨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 looking for talent that aligns with our mission at Supermodular AI.
We think you need these skills to ace Senior Forward Deployed Software Engineer | UK in London
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 projects. Make it personal and relatable!
Tailor Your Experience:Don’t just list your skills; connect them to the role! Highlight specific experiences where you've tackled complex problems or built systems that align with our mission at Supermodular AI. This shows us you understand what we do and how you fit in.
Be Clear and Concise:We appreciate clarity! Use straightforward language and avoid jargon overload. Make sure your application is easy to read and gets straight to the point about your qualifications and how they relate to the job.
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 gives you a chance to explore more about who we are and what we do!
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 the role and how you can contribute to Supermodular AI's mission.
✨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. Highlight your experience with rapid experimentation and iteration, as this aligns with the company's focus on practical solutions and agile development.
✨Familiarise Yourself with Enterprise Environments
Since you'll be working directly with enterprise IT and software teams, it's crucial to understand their challenges. Research common issues faced by engineering organisations and think about how AI can create meaningful impact in those contexts. This will show that you're not just technically savvy but also aware of the broader business implications.
✨Prepare for Technical Deep-Dives
Expect to go into detail about your technical skills during the interview process. Brush up on your knowledge of distributed systems, cloud-native environments, and how to integrate AI capabilities with traditional system primitives. Be ready to discuss your past projects and the architectural decisions you made, as this will demonstrate your expertise and thought process.
