At a Glance
- Tasks: Lead the design of innovative AI-powered software and mentor engineering teams.
- Company: Join WeBuild-AI, a pioneer in transforming enterprises with cutting-edge AI technology.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Dynamic hybrid role with opportunities to shape the future of AI in various industries.
- Why this job: Be at the forefront of AI innovation and make a real impact on enterprise solutions.
- Qualifications: 8+ years in software engineering with expertise in Python, TypeScript/React, and cloud architectures.
About WeBuild-AI: WeBuild-AI are AI natives delivering 10x value for enterprise organisations. We combine highly skilled experts with our AI Launchpad, industry-aligned language models, and agents to transform enterprise organisations into AI-powered and data-driven businesses. We work with enterprise organisations on a global stage, reinventing how they design, build, and operate AI powered software at scale with speed.
Our Purpose: We're on a mission to reinvent what's possible with AI in enterprise environments. Our Software Engineers don't just implement solutions—they discover new patterns of working with AI that revolutionise entire business processes. We believe AI will fundamentally transform how organisations operate, and we're looking for pioneers who want to lead this transformation, working at the absolute cutting edge of what's possible with today's most advanced AI technologies.
Key Responsibilities
- Define and evolve the overall software architecture and technology vision for the organisation.
- Provide deep technical guidance to multiple engineering teams across projects.
- Lead the design and delivery of large-scale distributed systems that integrate AI and data services.
- Champion engineering excellence, establishing standards for code quality, performance, and reliability.
- Collaborate with product and AI leadership to align software strategy with company goals.
- Review and approve major architectural decisions and technology selections.
- Mentor and coach Lead Engineers, elevating technical capability across the organisation.
- Evaluate emerging technologies and introduce innovative approaches that improve our software delivery.
- Ensure best practices in security, observability, CI/CD, and cloud infrastructure are embedded throughout the engineering function.
- Represent the engineering organisation externally — at conferences, client meetings, and community events.
Requirements
- ~8+ years’ experience designing, building, and scaling enterprise-grade software systems.
- ~ Deep technical expertise across the full stack, with mastery in Python, TypeScript/React, and cloud-native architectures.
- ~ Proven experience architecting distributed systems and integrating AI services or data platforms.
- ~ Experience setting technical direction, establishing patterns, and guiding multiple teams.
- ~ Strong understanding of DevOps, infrastructure as code, and microservices design.
- ~ Track record of mentoring senior engineers and leading technical communities.
- ~ Exceptional problem-solving and communication skills, with the ability to influence at all levels.
- ~ Strategic thinker - capable of balancing innovation, quality, and delivery speed.
The Mindset We Value:
- Relentless Innovation: We're looking for individuals who are constantly exploring the edges of what's possible with AI. You should be the type who stays up late testing new approaches just to see what might work.
- Flexible Methodology: Traditional development approaches don't always apply to AI. We need people who can adapt their working methods to the unique characteristics of AI systems, embracing experimental approaches when appropriate.
- "Can Do" Attitude: When faced with a seemingly impossible challenge, your response should be "let's figure out how" rather than "it can't be done." We value determined problem-solvers who find a way forward.
- Balanced Perspective: While pushing boundaries, you must maintain a grounded understanding of enterprise realities, balancing innovation with practical implementation.
Growth Opportunities:
- Develop expertise with emerging AI models and capabilities before they reach mainstream adoption.
- Create intellectual property and novel implementation approaches.
- Work across multiple industries to develop deep domain expertise.
- Contribute to the evolution of our proprietary AI methodology.
- Participate in the AI research community and establish thought leadership.
- Shape new AI services and capabilities within our Pathway platform.
This role is hybrid and we come into our London based office 3 days a week.
REMOTE PRINCIPAL SOFTWARE ENGINEER in London employer: WeBuild-AI
WeBuild-AI is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those looking to make a significant impact in the AI consultancy space. With a strong emphasis on employee growth, you will have the autonomy to lead design projects while collaborating with cutting-edge AI tools, all within a supportive environment located in the vibrant city of London. Join us to be part of a fast-growing team where your creativity and strategic thinking will directly contribute to our brand evolution and success.
StudySmarter Expert Advice🤫
We think this is how you could land REMOTE PRINCIPAL SOFTWARE ENGINEER in London
✨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 WeBuild-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 WeBuild-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 WeBuild-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 WeBuild-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 REMOTE PRINCIPAL SOFTWARE ENGINEER in London
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 WeBuild-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 WeBuild-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 WeBuild-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 WeBuild-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.
