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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 dedicated to revolutionising software delivery for businesses.
- Benefits: Enjoy remote work flexibility, high autonomy, and the chance to experiment with AI tools.
- Why this job: Be at the forefront of software innovation, shaping the future while working in a supportive environment.
- Qualifications: Experience in software engineering with a passion for AI and modern development practices.
- 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 Are you a seasoned software engineer who thrives on building clean, modern solutions to replace outdated systems?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joining a small, remote-first team delivering greenfield systems for growing UK and international businesses, replacing outdated architectures with modern, scalable solutions.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.
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 value.
✨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 the 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 past projects where you led the architecture and development process.
Showcase Relevant Skills: List technical skills that align with the job description, such as programming languages, AI tools, and methodologies. Highlight your ability to work autonomously and engage with clients directly.
Prepare for Potential Interviews: Anticipate questions about your experience with greenfield projects and AI integration. Be ready to discuss how you approach problem-solving and decision-making in a fast-paced environment.
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 you've used, especially those related to AI. This is your chance to demonstrate how your background aligns with the company's focus on clean, scalable solutions.
✨Demonstrate Pragmatic Problem-Solving
Since the role requires navigating constraints and making pragmatic decisions, come equipped with examples of past challenges you've faced. Discuss how you approached these problems and the outcomes, showcasing your ability to think critically and adaptively in a fast-paced environment.
✨Engage with Real Business Needs
Prepare to discuss how you've engaged with clients or stakeholders in previous roles. Emphasise your ability to understand and shape solutions that meet real business needs, as this is crucial for the position. Think of specific instances where your input directly influenced project success.
✨Embrace the AI Angle
Since the company is keen on integrating AI into their projects, be ready to talk about your experience with AI tools. Share any relevant projects where you've applied AI to enhance delivery speed or quality, and express your enthusiasm for experimenting with new technologies in this space.
