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- Tasks: Lead the development of innovative AI-powered fit systems and grow a dynamic engineering team.
- Company: Join an early-stage startup revolutionizing the fashion industry with cutting-edge technology.
- Benefits: Enjoy a competitive salary, generous equity, 28 days holiday, and flexible working options.
- Why this job: Be part of a mission-driven team shaping the future of fashion while reducing waste and costs.
- Qualifications: 5+ years in back-end development, leadership experience, and proficiency in Python and database technologies.
- Other info: Bonus points for retail sector experience; work with a tech stack including OpenAI and AWS.
The predicted salary is between 60000 - 84000 £ per year.
We've partnered with an innovative early-stage startup who have built an AI powered fit operating system, the first solution of its kind to reduce returns by fixing fit pre & post production. Using machine learning and data their technology improves the way every item of clothing is cut to reduce waste save cost.
With recent funding and an ever-expanding roster of new clients to onboard, this company looks to increase its engineering capabilities and the Lead Engineer will take the helm of this growing team.
PRIMARY RESPONSIBILITIES:
This company are on a mission to revolutionize fit insights in the fashion industry. They are looking for an experienced and entrepreneurial Lead Engineer to not only take charge of the development of their systems but also spearhead the growing engineering function.
THE PRODUCT:
The product is advanced analytics using AI and machine learning with a low code front end. In the next 12 months, they will be building a shopify app that automates website updates based on manufacturing data.
THE TECH STACK: OpenAI, Docker, AWS Fargate, Airbyte, Python, Scikit-learn, AWS S3, AWS RDS, DuckDB, PostgreSQL
RESPONSIBILITIES INCLUDE:
- Leading the development of their growing systems
- Growing and leading a team
- Building and maintaining reliable data pipelines
- Collaborating with other areas of the business
- Optimizing performance
- Implementing Best Practices
- Shaping the Architecture
WHAT THEY’RE LOOKING FOR:
- A motivated self-starter
- Start-up or side hustle experience and an entrepreneurial mindset
- A minimum of 5 years of experience in back-end development, with some experience in a leadership role
- Up to date with cutting edge AI
- Proficiency in Python, preferably experience with the other elements of their tech stack
- Strong understanding of database technologies such as PostgreSQL, MySQL, or MongoDB
- Experience building and consuming RESTful APIs
- Familiarity with cloud platforms (AWS is ideal) and a strong grasp of CI/CD practices
- Problem-solving mindset
- Team Player
- Excellent communication skills
- Passion for learning
BONUS POINTS FOR: Experience in the retail sector
COMPENSATION/BENEFITS:
- Competitive salary range up to £100k
- Generous equity as one of the first 10 employees
- 28 days holiday
- Pension matching up to 5%
- Flexible working as standard
Lead Engineer employer: Higher - AI recruitment
Contact Detail:
Higher - AI recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Engineer
✨Tip Number 1
Familiarize yourself with the specific technologies mentioned in the job description, especially Python and AWS. Being able to discuss your experience with these tools during the interview will show that you're not only qualified but also genuinely interested in their tech stack.
✨Tip Number 2
Highlight any previous experience you have in a startup environment or leading a team. Share specific examples of how you've successfully managed projects or teams, as this aligns perfectly with what they're looking for in a Lead Engineer.
✨Tip Number 3
Prepare to discuss your problem-solving approach and how you've tackled challenges in past roles. This company values a problem-solving mindset, so showcasing your analytical skills and innovative thinking will set you apart.
✨Tip Number 4
Since they are focused on revolutionizing fit insights in the fashion industry, do some research on current trends and challenges in this sector. Being knowledgeable about the industry will help you connect with their mission and demonstrate your passion for learning.
We think you need these skills to ace Lead Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in back-end development and leadership roles. Emphasize your proficiency in Python and any relevant technologies from the company's tech stack.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and machine learning, and how your entrepreneurial mindset aligns with the startup's mission. Mention specific examples of your past experiences that demonstrate your problem-solving skills and ability to lead a team.
Showcase Relevant Projects: If you have worked on projects related to data pipelines, cloud platforms, or RESTful APIs, be sure to include these in your application. Highlight any experience you have in the retail sector as it is considered a bonus.
Prepare for Technical Questions: Be ready to discuss your technical expertise during the interview process. Brush up on your knowledge of database technologies, CI/CD practices, and the specific tools mentioned in the job description, such as Docker and AWS.
How to prepare for a job interview at Higher - AI recruitment
✨Show Your Entrepreneurial Spirit
Since the company is looking for someone with an entrepreneurial mindset, be prepared to discuss your past experiences in startups or side hustles. Highlight how these experiences have shaped your problem-solving skills and ability to lead.
✨Demonstrate Technical Proficiency
Make sure to showcase your expertise in Python and familiarity with the tech stack mentioned in the job description. Be ready to discuss specific projects where you've utilized these technologies, especially in building and consuming RESTful APIs.
✨Emphasize Team Leadership Experience
As a Lead Engineer, you'll be expected to grow and lead a team. Share examples of how you've successfully managed teams in the past, focusing on your leadership style and how you foster collaboration and communication.
✨Prepare for Problem-Solving Scenarios
Expect to face technical challenges during the interview. Prepare to walk through your thought process in solving complex problems, particularly those related to optimizing performance and implementing best practices in system architecture.
