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For Companies At a Glance
- Tasks: Lead end-to-end software projects, focusing on modern solutions and AI integration.
- Company: Join a forward-thinking team revolutionising software delivery for businesses worldwide.
- Benefits: Enjoy remote work flexibility, high autonomy, and the chance to experiment with AI tools.
- Why this job: Shape the future of software engineering while working in a supportive, innovative environment.
- Qualifications: Experience in software engineering and a passion for AI-driven solutions are essential.
- Other info: No rigid processes; embrace a flat structure with zero micromanagement.
The predicted salary is between 72000 - 88000 £ per year.
Want to future-proof your career while shaping the next era of software delivery? Are you a seasoned software engineer who thrives on building clean, modern solutions to replace outdated systems? Do you want to utilise your traditional engineering experience while having the scope to become an expert in AI?
My client is on the lookout for engineers who combine deep technical knowledge with a pragmatic mindset and a passion for staying ahead in a fast-moving industry. You’ll be joining a small, remote-first team delivering greenfield systems for growing UK and international businesses, replacing outdated architectures with modern, scalable solutions.
What You’ll Be Doing:
- Working end-to-end on greenfield software projects that replace legacy systems or building end-to-end solutions for startups.
- Taking the lead on architecture, development, deployment, and testing - no hand-holding or rigid process silos.
- Applying AI tools intelligently to boost delivery speed without sacrificing quality.
- Engaging with clients directly to shape solutions that meet real business needs.
- Using your experience to navigate constraints and drive pragmatic decisions.
What Makes This Different:
- No tech dogma: They’re language-agnostic - Solutions drive the stack, not the other way around.
- AI-powered delivery: You’ll be empowered to experiment with and apply the latest AI tools where they truly add value.
- Flat structure, high trust: Small teams, high autonomy, zero micromanagement.
- Future-focused: You’ll be at the forefront of a new model for software delivery, combining engineering best practices with cutting-edge AI capabilities.
Ready to lead the charge in AI-enabled software engineering? Apply now and help shape the future—on your terms, from wherever you do your best work.
Lead Software Engineer employer: talenty
Contact Detail:
talenty Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Software Engineer
✨Tip Number 1
Familiarise yourself with the latest AI tools and technologies relevant to software engineering. Being able to discuss how you can integrate these tools into your projects will show that you're not just keeping up, but are ready to lead in this area.
✨Tip Number 2
Highlight your experience with greenfield projects during any discussions or interviews. Be prepared to share specific examples of how you've successfully replaced legacy systems and the impact it had on the business.
✨Tip Number 3
Demonstrate your ability to work autonomously and make pragmatic decisions. Share instances where you've taken the lead on projects without needing micromanagement, as this aligns with the flat structure they value.
✨Tip Number 4
Engage with the company’s mission and values. Show genuine interest in how you can contribute to shaping solutions that meet real business needs, as this will resonate well with their client-focused approach.
We think you need these skills to ace Lead Software Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in software engineering, particularly with modern solutions and AI tools. Use specific examples of projects where you've replaced outdated systems or led greenfield projects.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how it can enhance software delivery. Mention your pragmatic approach to problem-solving and your ability to engage with clients to meet their needs.
Showcase Relevant Skills: List technical skills that are relevant to the role, such as programming languages, AI tools, and software development methodologies. Highlight any leadership experience you have in managing projects or teams.
Prepare for Interviews: Be ready to discuss your previous projects in detail, especially those involving AI and modern software solutions. Think about how you can demonstrate your ability to work autonomously and make pragmatic decisions under constraints.
How to prepare for a job interview at talenty
✨Showcase Your Technical Expertise
Be prepared to discuss your technical skills in depth. Highlight your experience with modern software development practices and any specific technologies relevant to AI-enabled projects. Demonstrating a strong understanding of both traditional engineering principles and innovative AI applications will set you apart.
✨Emphasise Problem-Solving Skills
Since the role involves navigating constraints and making pragmatic decisions, be ready to share examples of how you've tackled complex problems in past projects. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.
✨Demonstrate Leadership Qualities
As a Lead Software Engineer, you'll need to take charge of architecture and development. Prepare to discuss your leadership style and how you've successfully led teams or projects in the past. Highlight your ability to foster collaboration and trust within a team.
✨Engage with the Company’s Vision
Research the company’s approach to AI and software delivery. Be ready to discuss how your vision aligns with theirs and how you can contribute to their future-focused goals. Showing genuine interest in their mission will make a positive impression.
