At a Glance
- Tasks: Build AI-first features and own full-stack development with React and Python.
- Company: Join a dynamic AI-native startup in Central London, focused on innovative benefits solutions.
- Benefits: Enjoy a competitive salary, stock options, 25 days leave, and flexible working arrangements.
- Why this job: Be part of a passionate team, make a real impact, and grow your career rapidly.
- Qualifications: 3+ years in software engineering, skilled in React/TypeScript and Python, with AI/ML experience.
- Other info: Remote-first or hybrid work model available; entrepreneurial mindset is a must!
The predicted salary is between 43200 - 66000 £ per year.
TalentCo are thrilled to be working with a seed stage AI-native startup looking to hire 3 exceptional Software Engineers into their London HQ, to play pivotal roles in building their next generation, AI benefits platform. They are a team of exceptionally driven and obsessive individuals, looking to add more hyper-ambitious engineers to their world class engineering team. Their HQ is in Central London, so you can choose to be based remote-first or hybrid, although proximity to London would be advantageous.
As Software Engineer you will:
- Build AI-first features: Design and ship cutting-edge platform features using personalisation, LLMs, recommender systems, and reinforcement learning.
- Work across the stack: Own features end-to-end with React (TypeScript) and Python (FastAPI), blending UX and ML into production-ready code.
- Move fast with the latest tools: Leverage modern AI dev tools (Cursor, Windsurf) to experiment, prototype, and launch quickly.
- Be a collaborative, growth-minded engineer: Ship clean, tested code, embrace peer reviews, and contribute across design, product, and ML.
We want to hear from you if:
- Proven industry impact: 3+ years building products in fast-paced or startup environments, with an eye for quality and scale.
- Full-stack fluency: Skilled in React/TypeScript and Python, with experience deploying on GCP, AWS, or Azure.
- Real-world AI/ML experience: Delivered AI-driven features to users and hungry to stay ahead of the latest innovations.
- Entrepreneurial spirit: You have the mindset and approach of a Founding Engineer. You get sh*t done.
What do they offer?
- Salary up to £110,000 / annum
- Employee stock options
- 25 days annual leave + public holidays
- Remote-first or hybrid working model out of their London HQ - the choice is yours
- Top-tier private health insurance
- Career rocket fuel - real growth, real ownership, real impact
Software Engineer (React / Typescript / Python) employer: TalentCo
Contact Detail:
TalentCo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer (React / Typescript / Python)
✨Tip Number 1
Familiarise yourself with the latest AI development tools mentioned in the job description, like Cursor and Windsurf. Being able to discuss how you've used or experimented with these tools in your previous projects can set you apart during interviews.
✨Tip Number 2
Showcase your full-stack capabilities by preparing examples of past projects where you've successfully integrated React, TypeScript, and Python. Be ready to explain your thought process and the challenges you faced while working across the stack.
✨Tip Number 3
Highlight any experience you have with deploying applications on cloud platforms like GCP, AWS, or Azure. This is crucial for demonstrating your ability to work in a modern tech environment and will resonate well with the startup's needs.
✨Tip Number 4
Emphasise your entrepreneurial spirit by sharing instances where you've taken initiative or led projects. Startups value candidates who can demonstrate ownership and a proactive approach to problem-solving.
We think you need these skills to ace Software Engineer (React / Typescript / Python)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with React, TypeScript, and Python. Include specific projects where you've built AI-driven features or worked in fast-paced environments to demonstrate your industry impact.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your entrepreneurial spirit and how you align with their mission of building an AI benefits platform. Use specific examples from your past work to illustrate your skills.
Showcase Your Projects: If you have a portfolio or GitHub repository, include links to relevant projects that showcase your full-stack fluency and real-world AI/ML experience. Highlight any personalisation, LLMs, or recommender systems you've implemented.
Prepare for Technical Questions: Anticipate technical questions related to React, TypeScript, and Python during the interview process. Brush up on your knowledge of modern AI development tools and be ready to discuss how you've used them in previous projects.
How to prepare for a job interview at TalentCo
✨Showcase Your Full-Stack Skills
Make sure to highlight your experience with both React (TypeScript) and Python during the interview. Be prepared to discuss specific projects where you've successfully integrated these technologies, demonstrating your ability to work across the stack.
✨Demonstrate Your AI/ML Knowledge
Since the role involves building AI-first features, be ready to talk about your real-world experience with AI and machine learning. Share examples of how you've implemented AI-driven functionalities in past projects and your approach to staying updated with the latest innovations.
✨Emphasise Your Collaborative Spirit
This company values teamwork and collaboration. Prepare to discuss how you've contributed to team projects, participated in peer reviews, and worked cross-functionally with design and product teams. Highlight any experiences that showcase your growth mindset.
✨Prepare for Technical Challenges
Expect to face technical questions or coding challenges during the interview. Brush up on your problem-solving skills and be ready to demonstrate your thought process. Familiarise yourself with modern AI development tools mentioned in the job description, as they may come up in discussions.