Software Engineer (Series A funded AI LLM Product)
Software Engineer (Series A funded AI LLM Product)

Software Engineer (Series A funded AI LLM Product)

Full-Time 60000 - 84000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Join a dynamic team to develop AI-powered solutions for Fintech and Insurance sectors.
  • Company: Be part of an ambitious Series A start-up revolutionising workflow automation.
  • Benefits: Enjoy hybrid working in London, with flexibility and a competitive salary.
  • Why this job: Contribute to impactful projects while collaborating in a flat engineering structure.
  • Qualifications: Experience with Python, React, and cloud services; interest in LLM projects is a plus.
  • Other info: Opportunity to grow within a fast-paced, innovative environment.

The predicted salary is between 60000 - 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.

You will ideally have experience using most of the following stack:

  • Backend: Python, Flask/FastAPI
  • Frontend: React with TypeScript
  • Infra: 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 in London approximately 2 days per week.

Please apply with your CV if interested or contact if you have any specific questions.

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Contact Detail:

The Developer Link Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Software Engineer (Series A funded AI LLM Product)

✨Tip Number 1

Familiarise yourself with the specific technologies mentioned in the job description. Spend some time building small projects using Python, Flask or FastAPI, and React with TypeScript. This hands-on experience will not only boost your confidence but also give you practical examples to discuss during interviews.

✨Tip Number 2

Showcase any personal projects or contributions to open-source LLM initiatives. If you've tinkered with AI or LLM projects, be ready to discuss your approach and what you learned. This demonstrates your passion and initiative, which are highly valued in a start-up environment.

✨Tip Number 3

Network with current employees or others in the industry who have experience with AI products. Use platforms like LinkedIn to connect and engage in conversations about their work. This can provide valuable insights into the company culture and may even lead to a referral.

✨Tip Number 4

Prepare for technical interviews by practising coding challenges that focus on the stack mentioned. Websites like LeetCode or HackerRank can help you sharpen your skills. Additionally, be ready to explain your thought process and problem-solving approach, as this is crucial in a collaborative engineering team.

We think you need these skills to ace Software Engineer (Series A funded AI LLM Product)

Proficiency in Python
Experience with Flask or FastAPI
Strong knowledge of React and TypeScript
Familiarity with Terraform
Experience with GCP or AWS
Understanding of AI and LLM technologies
Ability to work in a hybrid environment
Collaboration skills in a flat team structure
Problem-solving skills
Version control using Git
Agile development methodologies
Strong debugging skills
Adaptability to new technologies
Effective communication skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience with the technologies mentioned in the job description, such as Python, Flask/FastAPI, React, and TypeScript. Emphasise any projects or roles where you've worked with AI or LLMs.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and workflow automation. Mention specific projects you've worked on that relate to the company's focus and explain why you're excited about the opportunity to join their team.

Showcase Relevant Projects: If you have personal or commercial projects involving LLMs or the specified tech stack, include them in your application. Provide links to your GitHub or portfolio to demonstrate your skills and interest in the field.

Highlight Team Collaboration Skills: Since the engineering team is described as relatively flat, emphasise your ability to work collaboratively. Mention any experiences where you've contributed to team projects or worked closely with others to achieve common goals.

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 technical prowess.

✨Understand the Company’s Product

Research the start-up's AI workflow automation product and its applications in Fintech and Insurance. Being able to articulate how your skills can contribute to their mission will impress the interviewers.

✨Demonstrate Team Collaboration

Since the engineering team is relatively flat, highlight your ability to work collaboratively. Share experiences where you contributed to a team project, focusing on communication and teamwork.

✨Ask Insightful Questions

Prepare thoughtful questions about the company culture, the technology stack, and future projects. This shows your genuine interest in the role and helps you assess if it's the right fit for you.

Software Engineer (Series A funded AI LLM Product)
The Developer Link
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