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For Companies At a Glance
- Tasks: Architect and develop AI solutions, focusing on both frontend and backend excellence.
- Company: Join a well-funded seed-stage AI startup in vibrant Old Street, London.
- Benefits: Enjoy competitive salary, equity options, health insurance, and 25 days of paid vacation.
- Why this job: Shape the future of AI with a passionate team in a dynamic startup environment.
- Qualifications: 3+ years in software engineering, with strong skills in Python, JavaScript, and AI applications.
- Other info: On-site role; must have the legal right to work in the UK.
The predicted salary is between 43200 - 72000 £ per year.
About the Role ( No Agencies – only direct applications )
As a Senior Software Engineer (Full-Stack) at our seed-stage AI startup based in Old Street, London, you will:
Architect and develop comprehensive solutions for our AI applications, guiding projects from proof-of-concept through to production.
Frontend Excellence: Create responsive and intuitive front-end experiences that enhance user interaction and satisfaction.
Backend Excellence: Develop and maintain robust backend systems, ensuring high performance, scalability, and reliability.
AI Integration: Utilize and master AI platforms such as OpenAI, Anthropic, Gemini, etc., Prototype Building: Rapidly develop prototypes to test and iterate on new ideas, ensuring swift progression from concept to viable product.
Product Collaboration: Work closely with the team on product strategy, UX design, and integrating machine learning models.
A degree in Computer Science, Machine Learning, Mathematics, Statistics, or a related field.
~ 3+ years of software engineering experience working on complex systems.
~ At least 1 year of experience working with AI applications in a startup or leading tech company.
~ Strong proficiency in Python for backend development.
~ Solid expertise in JavaScript, TypeScript, React for frontend development.
~ Experience with DevOps practices and CI/CD pipelines.
~ Proven success in building products from the ground up within a dynamic, early-stage environment.
Experience with additional AI tools and frameworks.
Key Qualities
Entrepreneurial Spirit: Self-starter who takes full responsibility for features or entire products, with a passion for building impactful solutions.
Agile Development: Competitive Compensation: Attractive salary and meaningful equity (EMI share options)
Comprehensive Benefits: Pension scheme and health insurance coverage
Generous Time Off: 25 days of paid vacation plus National Holidays ️
Impactful Role: Opportunity to shape the direction of an exciting AI startup
On-Site Collaboration: Work alongside a passionate team in our vibrant Old Street, London office.
Location: Seed-stage AI startup based in Old Street, London (on-site role).
Well-funded by top venture capital firms and angel investors.
Passionate about leveraging AI to create transformative solutions.
London onsite role, Old Street area, and have the legal right to work in the UK.
****No Agencies – only direct applications****
Senior Engineer, Software, Machine Learning employer: Skippr
Contact Detail:
Skippr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Engineer, Software, Machine Learning
✨Tip Number 1
Familiarize yourself with the latest AI platforms like OpenAI and Anthropic. Being able to discuss your experience or knowledge of these tools during your interview will show that you're not just a candidate, but someone who is genuinely interested in the field.
✨Tip Number 2
Highlight any previous experience you have in a startup environment. This role requires an entrepreneurial spirit, so sharing specific examples of how you've taken ownership of projects or features can set you apart from other candidates.
✨Tip Number 3
Prepare to discuss your approach to agile development. Since this position emphasizes rapid prototyping and iteration, demonstrating your understanding of agile methodologies will resonate well with the team.
✨Tip Number 4
Make sure to showcase your full-stack capabilities. Be ready to talk about both your frontend and backend experiences, especially with Python and JavaScript/TypeScript, as this will be crucial for the role.
We think you need these skills to ace Senior Engineer, Software, Machine Learning
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description and understand the key responsibilities and qualifications required for the Senior Software Engineer position. Tailor your application to highlight your relevant experience in software engineering, AI applications, and full-stack development.
Highlight Relevant Experience: In your CV and cover letter, emphasize your 3+ years of software engineering experience, particularly focusing on any work you've done with AI applications. Mention specific projects where you utilized Python for backend development and JavaScript/TypeScript for frontend development.
Showcase Your Skills: Clearly outline your technical skills related to the job, such as proficiency in AI platforms, DevOps practices, and CI/CD pipelines. Provide examples of how you've successfully built products from the ground up in a startup environment.
Express Your Passion: Convey your entrepreneurial spirit and passion for building impactful solutions in your application. Discuss your interest in AI and how you envision contributing to the startup's mission and product strategy.
How to prepare for a job interview at Skippr
✨Showcase Your AI Knowledge
Make sure to highlight your experience with AI platforms like OpenAI and Anthropic. Be prepared to discuss specific projects where you've integrated machine learning models, as this will demonstrate your hands-on expertise.
✨Demonstrate Full-Stack Proficiency
Since the role requires both frontend and backend skills, be ready to talk about your experience with Python for backend development and JavaScript/TypeScript for frontend. Share examples of how you've built responsive and intuitive user interfaces.
✨Emphasize Your Startup Experience
Discuss your previous roles in startup environments, focusing on how you've contributed to building products from the ground up. Highlight your ability to adapt quickly and take ownership of features or entire products.
✨Prepare for Technical Questions
Expect technical questions related to software engineering principles, DevOps practices, and CI/CD pipelines. Brush up on these topics and be ready to solve problems on the spot, showcasing your analytical thinking and coding skills.
