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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: Be at the forefront of innovation, shaping the future of software engineering without rigid processes.
- Qualifications: Experience in software engineering with a passion for AI and modern solutions required.
- Other info: No micromanagement; thrive in a flat structure with a focus on trust and collaboration.
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 Are you a seasoned software engineer who thrives on building clean, modern solutions to replace outdated systems?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joining a small, remote-first team delivering greenfield systems for growing UK and international businesses, replacing outdated architectures with modern, scalable solutions.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 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 leadership skills by discussing how you've taken charge of architecture and development processes in previous roles. Emphasise your ability to work autonomously and make pragmatic decisions without needing micromanagement.
✨Tip Number 4
Engage with the company's mission and values before applying. Showing that you understand their approach to software delivery and AI integration will help you stand out as a candidate who is genuinely interested in shaping the future of their projects.
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 took the lead and made pragmatic decisions.
Showcase Relevant Skills: List skills that align with the job description, such as architecture design, deployment, testing, and client engagement. Highlight your adaptability to different programming languages and technologies.
Prepare for Potential Interviews: Anticipate questions about your experience with greenfield projects and AI applications. 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 AI tools you've used. This is your chance to demonstrate how your background aligns with the company's focus on clean, scalable solutions.
✨Demonstrate Pragmatic Problem-Solving
Prepare examples of how you've navigated constraints in past projects. Discuss specific challenges you faced and the pragmatic decisions you made to overcome them. This will show your ability to lead and adapt in a fast-moving industry.
✨Engage with Real Business Needs
Understand the importance of client engagement in this role. Be ready to discuss how you've previously shaped solutions based on client requirements. This will highlight your ability to connect technical solutions with real-world business problems.
✨Embrace the Company Culture
Familiarise yourself with the company's flat structure and high autonomy. During the interview, express your enthusiasm for working in a collaborative environment without micromanagement. This will demonstrate that you are a good cultural fit for their team.
