Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the development of an internal AI chatbot and mentor junior developers.
- Company: Join a forward-thinking enterprise focused on innovative AI solutions.
- Benefits: Enjoy a competitive salary, annual bonus, and hybrid work flexibility.
- Why this job: Be at the forefront of AI technology while shaping business processes and culture.
- Qualifications: Experience in AI, full stack development with React, and project management skills required.
- Other info: No sponsorship available; must have the right to work in the UK.
The predicted salary is between 48000 - 64000 £ per year.
Up to £80k + 12% Annual Bonus
Basingstoke, Hampshire Hybrid (2 days in p/w)
Must have a proven interest or commercial experience using AI. Middle has partnered exclusively with a key client to build an internal team of Developers. This team will support the continuous development of a brand-new division who are building an internal AI Chatbot. They consist of a team of Web Developers within an Enterprise business who have designed, built, and implemented an internal AI chatbot to help secure, automate and expedite business processes.
If you are a strong React Developer with a keen interest or proven commercial knowledge of AI, Chatbots or GPT, this is likely the perfect role, project, people and business for you.
Role:
In this role, the Lead Software Engineer will be the most senior technical resource in the division. You will work extremely closely with the Enterprise Architect and internal stakeholders to continue to implement AI tools that reduce routine tasks, save time whilst protecting the organisations data and security.
As a Lead Software Engineer you won't be line managing but coaching/mentoring the junior developers. You have exposure to full project management with internal stakeholders across the business. This will be from inception, documentation, solution design right through to post-implementation bugs.
The ideal Lead Software Engineer will have:
- Must have commercial experience using AI.
- Experience as a full stack developer within the JavaScript framework - TypeScript, React (Next.js) and Node.js. Ideally with knowledge of Terraform, Ansible, and Packer.
- Knowledge of know-how using AI/ML in a personal project or workplace LLM, TensorFlow, and PyTorch.
- Previous experience managing end to end project management solution design with Architects to implementation.
- Previous experience within an Agile environment (Scrum or Kanban).
- Experience in spotting and fixing flaws internally.
- Great communication skills; gathering requirements, presenting and running Scrum sprints.
You must already have the right to work in the UK. No Sponsorship is available.
If you feel this role is right for you, please submit your CV.
Middle Recruitment Limited is an Equal Opportunities Employer. Middle provides equal employment opportunities regardless of ethnic origin, gender, nationality, religion, physical ability, sexual orientation, marital status, parental status, or medical history.
Lead Software Engineer AI employer: Middle Recruitment Limited
Contact Detail:
Middle Recruitment Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Software Engineer AI
✨Tip Number 1
Make sure to showcase your experience with AI technologies during networking events or meetups. Engaging with professionals in the field can help you learn about potential job openings and get insider information on what the company values.
✨Tip Number 2
Join online communities or forums related to AI and software development. Participating in discussions can help you stay updated on industry trends and may lead to connections that could refer you to opportunities at companies like us.
✨Tip Number 3
Consider contributing to open-source projects that focus on AI or chatbot development. This not only enhances your skills but also demonstrates your commitment and passion for the field, making you a more attractive candidate.
✨Tip Number 4
Prepare to discuss your previous projects involving AI during interviews. Be ready to explain your role, the technologies used, and the impact of your work. This will show your depth of knowledge and practical experience, which is crucial for a Lead Software Engineer position.
We think you need these skills to ace Lead Software Engineer AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI, React, and full-stack development. Emphasise any projects where you've used AI tools or frameworks like TensorFlow or PyTorch.
Craft a Strong Cover Letter: In your cover letter, express your passion for AI and chatbots. Mention specific experiences that demonstrate your skills in project management and mentoring junior developers.
Showcase Relevant Projects: If you have worked on AI-related projects, include them in your application. Describe your role, the technologies used, and the impact of the project on the organisation.
Highlight Communication Skills: Since the role involves working closely with stakeholders, make sure to mention your communication skills. Provide examples of how you've gathered requirements or led Scrum sprints in previous roles.
How to prepare for a job interview at Middle Recruitment Limited
✨Showcase Your AI Passion
Make sure to highlight your interest and experience in AI during the interview. Discuss any projects you've worked on that involved AI, chatbots, or machine learning, as this will demonstrate your genuine enthusiasm for the role.
✨Demonstrate Full Stack Expertise
Be prepared to discuss your experience with JavaScript frameworks, particularly TypeScript and React. Share specific examples of projects where you utilised these technologies, and be ready to explain your approach to full stack development.
✨Emphasise Agile Experience
Since the role involves working in an Agile environment, be sure to talk about your experience with Scrum or Kanban. Provide examples of how you've contributed to sprints, managed project timelines, and collaborated with team members.
✨Prepare for Technical Questions
Expect technical questions related to AI tools and frameworks like TensorFlow, PyTorch, and LLMs. Brush up on your knowledge and be ready to discuss how you've applied these technologies in your previous roles or projects.
