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For Companies At a Glance
- Tasks: Lead end-to-end software projects, replacing legacy systems with modern solutions.
- Company: Join a forward-thinking team focused on AI-enabled software delivery.
- Benefits: Enjoy remote work flexibility, high autonomy, and no micromanagement.
- Why this job: Shape the future of software engineering while utilising cutting-edge AI tools.
- Qualifications: Experience in software engineering and a passion for AI is essential.
- Other info: Be part of a small, innovative team driving impactful change.
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 Are you a seasoned software engineer who thrives on building clean, modern solutions to replace outdated systems?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joining a small, remote-first team delivering greenfield systems for growing UK and international businesses, replacing outdated architectures with modern, scalable solutions.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.
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. Be prepared to share specific examples of how you've successfully replaced legacy systems or built new solutions from scratch, as this aligns perfectly with what we're looking for.
✨Tip Number 3
Demonstrate your ability to work autonomously and make pragmatic decisions. Share instances where you've taken the lead on projects without micromanagement, as this reflects the flat structure and high trust environment we foster.
✨Tip Number 4
Engage in conversations about client interactions and how you've shaped solutions based on real business needs. This will showcase your ability to connect technical solutions with client requirements, which is crucial for this role.
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. Emphasise any leadership roles or projects where you replaced outdated systems.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how it can enhance software delivery. Mention specific examples of how you've applied innovative solutions in past projects and your approach to client engagement.
Showcase Relevant Projects: Include a portfolio or links to projects that demonstrate your ability to lead end-to-end software development. Highlight any greenfield projects or experiences where you’ve implemented AI tools effectively.
Prepare for Technical Questions: Anticipate technical questions related to software architecture, development processes, and AI applications. Be ready to discuss your decision-making process and how you navigate constraints in projects.
How to prepare for a job interview at talenty
✨Showcase Your Technical Expertise
As a Lead Software Engineer, it's crucial to demonstrate your deep technical knowledge. Be prepared to discuss your experience with various programming languages and frameworks, especially those relevant to AI. Highlight specific projects where you've successfully implemented modern solutions.
✨Emphasise Pragmatic Problem-Solving
The role requires a pragmatic mindset, so be ready to share examples of how you've navigated constraints in past projects. Discuss how you made decisions that balanced technical excellence with practical business needs, showcasing your ability to deliver effective solutions.
✨Engage with Real-World Scenarios
Since the position involves direct client engagement, prepare to discuss how you've shaped solutions based on real business requirements. Use examples from your previous roles to illustrate your ability to communicate effectively with clients and understand their needs.
✨Demonstrate Your Adaptability
With a focus on AI-powered delivery and a flat structure, it's important to show your willingness to experiment and adapt. Share instances where you've embraced new technologies or methodologies, and explain how this has positively impacted your work and the projects you've led.
