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- Tasks: Join our team to develop AI-powered solutions for Fintech and Insurance sectors.
- Company: Be part of an ambitious Series A start-up revolutionising admin tasks with cutting-edge technology.
- Benefits: Enjoy a hybrid work model, competitive salary, and the chance to work on innovative projects.
- Why this job: Contribute to impactful AI projects in a flat team structure that values your input and creativity.
- Qualifications: Familiarity with Python, Flask/FastAPI, React, TypeScript, and cloud platforms like AWS or GCP is essential.
- Other info: Ideal for those passionate about LLM projects, with opportunities for personal growth and development.
The predicted salary is between 56000 - 84000 £ per year.
£70-100k salary range - London Hybrid - AI Workflow Automation Product
TDL are working with a Series A, ambitious start-up who are tackling manual admin heavy tasks across Fintech, Insurance and other surrounding sectors via their AI/LLM powered products. They are on the hunt for 2 new Developers to join the London based Engineering team.
- Python, Flask/FastAPI
- Frontend: React with TypeScript
- Terraform, GCP/AWS
Ideally you will have at least an interest and have tinkered personally with LLM type projects. Huge bonus if you have commercial experience in this area alongside the above product stack.
The Engineering team is relatively flat under the CTO with Mid through to Staff Engineers all contributing code as their main role.
Hybrid working London approx 2 days per week.
Software Engineer AWS employer: The Developer Link
Contact Detail:
The Developer Link Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer AWS
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Python, Flask/FastAPI, and React with TypeScript. Building small projects or contributing to open-source initiatives using these technologies can showcase your skills and passion.
✨Tip Number 2
Since the role involves AI and LLM projects, consider creating a personal project that utilises these technologies. This not only demonstrates your interest but also gives you practical experience to discuss during interviews.
✨Tip Number 3
Network with current employees or others in the industry who have experience with similar start-ups. Engaging in conversations about their experiences can provide valuable insights and potentially lead to referrals.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and system design questions relevant to the tech stack. Websites like LeetCode or HackerRank can be great resources to sharpen your skills before the interview.
We think you need these skills to ace Software Engineer AWS
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience with Python, Flask/FastAPI, and React with TypeScript. Include any personal projects or tinkering you've done with LLM technologies to showcase your interest and skills.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific projects or experiences that align with their focus on AI workflow automation and how you can contribute to their mission.
Showcase Relevant Projects: If you have worked on any projects involving Terraform, GCP/AWS, or AI/LLM, be sure to include these in your application. Provide links to your GitHub or portfolio to demonstrate your hands-on experience.
Highlight Team Collaboration Skills: Since the engineering team is relatively flat, emphasise your ability to work collaboratively. Share examples of how you've contributed to team projects or supported colleagues in previous roles.
How to prepare for a job interview at The Developer Link
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, Flask/FastAPI, and React with TypeScript. Bring examples of projects you've worked on, especially those involving AI or LLMs, to demonstrate your hands-on knowledge.
✨Understand the Company’s Product
Research the start-up's AI workflow automation products and their impact on sectors like Fintech and Insurance. Being able to articulate how your skills can contribute to their mission will impress the interviewers.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities. Practice coding challenges related to the technologies mentioned in the job description, as this will help you think on your feet during the interview.
✨Emphasise Team Collaboration
Since the engineering team is flat, highlight your ability to work collaboratively. Share experiences where you contributed to a team project, showcasing your communication skills and adaptability in a hybrid working environment.
