At a Glance
- Tasks: Lead the development of next-gen AI platforms and digital assistants.
- Company: AI Connect, a forward-thinking tech company focused on innovation.
- Benefits: Remote/hybrid work, competitive salary, and opportunities for professional growth.
- Other info: Join a dynamic team with excellent career advancement opportunities.
- Why this job: Shape the future of AI technology and make a real impact.
- Qualifications: Strong software engineering background and leadership experience required.
The predicted salary is between 70000 - 90000 £ per year.
AI Connect are hiring a Software Engineering Tech Lead to lead the development of next‑generation Digital Assistant and AI platforms. You’ll play a key role in shaping scalable, high‑performance systems that support customer and colleague experiences across the organisation. This is a hands‑on technical leadership role focused on building resilient, enterprise‑grade applications combining modern software engineering practices with emerging AI and conversational technologies.
What You’ll Do
- Design, build, and deploy high‑performance, scalable applications and APIs that power digital assistant and AI‑driven experiences.
- Lead the development of robust microservices and reusable platform components used across the organisation.
- Contribute to the architecture and delivery of AI‑powered and conversational systems, including chat and agent‑based workflows.
- Work with teams building LLM‑enabled applications, integrating models such as OpenAI, Claude, and Gemini via APIs.
- Drive engineering best practices across scalability, resilience, testing, CI/CD, and system performance.
- Mentor engineering teams and help shape technical strategy across multiple initiatives.
- Collaborate closely with product, platform, and AI teams to deliver secure, enterprise‑ready solutions.
Key Skills & Experience
- Strong background in software engineering and architecture, particularly within microservices or SOA environments.
- Proven experience leading software engineering teams and driving technical delivery.
- Strong hands‑on development experience with Python or NodeJS.
- Experience designing and building full‑stack or API‑driven applications, ideally within conversational AI or chat‑based environments.
- Experience working with cloud platforms such as AWS and containerised environments.
- Strong understanding of CI/CD pipelines, automated testing, scalability, and high‑availability systems.
- Experience building or integrating AI‑powered applications, including LLM APIs, agentic workflows, or RAG systems, is highly advantageous.
- Strong understanding of engineering best practices, system design, and performance optimisation.
Software Engineering Team Lead employer: AI Connect | Data & AI Delivery Partner
AI Connect is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those passionate about AI and software engineering. With a focus on employee growth, we offer mentorship opportunities and the chance to lead cutting-edge projects in a remote or hybrid setting, ensuring a healthy work-life balance while contributing to transformative technology. Join us to be part of a collaborative team that values creativity and technical excellence, making a meaningful impact in the world of digital assistants and AI platforms.
Contact Details:
AI Connect | Data & AI Delivery Partner Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineering Team Lead
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with AI or software engineering. A friendly chat can lead to insider info about job openings that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, NodeJS, or AI systems. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to software engineering and AI, and don’t forget to highlight your leadership experience!
✨Tip Number 4
Apply through our website! We’ve got loads of exciting opportunities waiting for you. Plus, applying directly shows your enthusiasm and makes it easier for us to spot your application.
We think you need these skills to ace Software Engineering Team Lead
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences mentioned in the job description. Highlight your background in software engineering, especially with microservices and AI systems, to show us you’re a perfect fit!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re passionate about leading software engineering teams. Share specific examples of your hands-on development experience and how you've driven technical delivery in previous roles.
Showcase Your Technical Skills:Don’t forget to mention your expertise in Python or NodeJS, as well as your experience with cloud platforms like AWS. We want to see how you’ve built scalable applications and integrated AI technologies in your past projects.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates during the process!
How to prepare for a job interview at AI Connect | Data & AI Delivery Partner
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, NodeJS, and cloud platforms like AWS. Brush up on your knowledge of microservices and AI systems, as you’ll likely be asked to discuss how you’ve implemented these in past projects.
✨Showcase Your Leadership Skills
Prepare examples that highlight your experience leading software engineering teams. Think about specific challenges you faced, how you mentored your team, and the impact of your leadership on project outcomes. This role is all about driving technical delivery, so make sure to emphasise your ability to guide and inspire others.
✨Demonstrate Problem-Solving Abilities
Be ready to tackle hypothetical scenarios or technical problems during the interview. Practice articulating your thought process clearly, focusing on how you would approach designing scalable applications or integrating AI models. This will show your analytical skills and your ability to think on your feet.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s current projects, their tech stack, or their approach to AI and conversational systems. This not only shows your genuine interest in the role but also gives you a chance to assess if the company aligns with your career goals and values.
