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 options, and opportunities for professional growth.
- Why this job: Be at the forefront of AI innovation and make a real impact on global enterprises.
- Qualifications: 8+ years in software engineering with expertise in Python, TypeScript/React, and cloud architectures.
- Other info: Dynamic environment with opportunities to shape the future of AI in various industries.
The predicted salary is between 72000 - 108000 ÂŁ per year.
WeBuildâAI are AI natives delivering 10x value for enterprise organisations. We combine highly skilled experts with our AI Launchpad, industryâaligned language models, and agents to transform enterprise organisations into AIâpowered and dataâdriven businesses. We work with enterprise organisations on a global stage, reinventing how they design, build, and operate AIâpowered 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 solutionsâthey 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 largeâscale 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 â at conferences, client meetings, and community events.
Requirements
- 8+ years' experience designing, building, and scaling enterpriseâgrade software systems.
- Deep technical expertise across the full stack, with mastery in Python, TypeScript/React, and cloudânative 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 problemâsolving and communication skills, with the ability to influence at all levels.
- Strategic thinker â 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 problemâsolvers 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.
Principal Software Engineer in London employer: WeBuild-AI
Contact Detail:
WeBuild-AI Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Principal Software Engineer in London
â¨Tip Number 1
Network like a pro! Get out there and connect with folks in the industry. Attend meetups, conferences, or even online webinars. You never know who might have the inside scoop on job openings or can put in a good word for you.
â¨Tip Number 2
Show off your skills! Create a portfolio that highlights your best projects, especially those involving AI and software architecture. Share it on platforms like GitHub or your personal website to catch the eye of potential employers.
â¨Tip Number 3
Donât just applyâengage! When you find a role that excites you, reach out to someone at the company through LinkedIn. Ask them about their experience and express your interest. Itâs a great way to stand out from the crowd.
â¨Tip Number 4
Keep learning and adapting! Stay updated on the latest trends in AI and software engineering. Join online courses or workshops to enhance your skills. This shows potential employers that youâre committed to growth and innovation.
We think you need these skills to ace Principal Software Engineer in London
Some tips for your application đŤĄ
Show Your Passion for AI: When you're writing your application, let your enthusiasm for AI shine through! We want to see how youâve explored the edges of what's possible with AI and how you can bring that relentless innovation to our team.
Tailor Your Experience: Make sure to highlight your experience in designing and building enterprise-grade software systems. Weâre looking for specific examples of how you've architected distributed systems and integrated AI servicesâthis is your chance to show us what youâve got!
Communicate Clearly: Your communication skills are key! Use clear and concise language to explain your technical expertise and problem-solving abilities. Remember, we value those who can influence at all levels, so make your points stand out.
Apply Through Our Website: Donât forget to apply through our website! Itâs the best way for us to receive your application and ensures youâre considered for this exciting opportunity. We canât wait to see what you bring to the table!
How to prepare for a job interview at WeBuild-AI
â¨Know Your Tech Inside Out
Make sure youâre well-versed in the technologies mentioned in the job description, especially Python, TypeScript/React, and cloud-native architectures. Brush up on your experience with distributed systems and AI integration, as these will be key discussion points during the interview.
â¨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you tackled them. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting your 'can do' attitude and innovative approaches to problem-solving.
â¨Demonstrate Leadership and Mentorship
Be ready to talk about your experience mentoring other engineers and leading technical teams. Share examples of how you've elevated team capabilities and established best practices, as this aligns with the company's focus on engineering excellence.
â¨Align with Their Vision
Research WeBuild-AIâs mission and values, and think about how your personal goals align with theirs. Be prepared to discuss how you can contribute to their purpose of reinventing enterprise operations with AI, showcasing your strategic thinking and innovative mindset.