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
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at supermodular.ai or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to supermodular.ai.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like supermodular.ai.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like supermodular.ai that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Senior Forward Deployed Engineer | UK
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at supermodular.ai.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at supermodular.ai and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at supermodular.ai
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If supermodular.ai uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
