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- Tasks: Design and deploy AI-powered features while collaborating with a dynamic team.
- Company: Join an innovative AI-native workspace backed by top-tier investors.
- Benefits: Competitive salary, equity options, and performance-based incentives.
- Why this job: Be part of a cutting-edge team shaping the future of AI applications.
- Qualifications: 5+ years in software engineering with expertise in React, Python, and AI systems.
- Other info: Exciting opportunity for career growth in a supportive environment.
The predicted salary is between 100000 - 200000 £ per year.
Role Overview: Full-Stack AI Engineer at TechTree
About The Company: The client is an AI-native workspace initially designed for investment banking, private equity, consultancies, and asset managers. This role will work alongside two well-known founders who have successfully sold their last two YC-backed companies. The company has already raised double figures from Y Combinator and top-tier venture firms. With strong product-market fit and live production deployments at some of the world’s largest and most prestigious institutions, the team is working around the clock across offices in New York, London, and Hong Kong to become the leading AI application platform for enterprise.
About The Role: Seeking a Full-Stack Engineer with 5+ years experience in React/Next.js, Python, and AI systems to design and deploy AI agent infrastructure and deliver AI-powered features at scale. The ideal candidate has a strong background in building modern web applications, hands-on exposure to infrastructure, DevOps, and AI system development, and experience with cloud environments.
Key Responsibilities:
- Design, develop, and maintain frontend applications using React and Next.js.
- Build, test, and deploy backend services and APIs (Python/Django/FastAPI preferred).
- Collaborate with founders, growth team, designers, and other engineers to deliver high-impact features.
- Ensure scalability, performance, and security across the stack.
- Implement CI/CD pipelines, automated testing, and monitoring solutions.
- Contribute to infrastructure planning, deployment, and optimization in cloud environments (AWS, GCP, or Azure).
- Develop and deploy AI-powered features in production, including RAG (Retrieval-Augmented Generation) systems, multi-agent infrastructure, and evaluation frameworks (Evals).
- Build real-world AI use cases by integrating fine-tuned models and large language model APIs into user-facing products.
- Create data pipelines for AI model training, evaluation, and continuous improvement.
- Mentor junior developers and promote engineering best practices.
Requirements:
- 5+ years of professional software engineering experience.
- Proven experience with React and Next.js in production environments.
- Strong backend development skills (Python preferred).
- Solid understanding of relational and/or NoSQL databases.
- Experience with Git and collaborative development workflows.
- Knowledge of cloud infrastructure, containerization (Docker, Kubernetes), and CI/CD pipelines.
- Experience implementing background workers and task queues (Celery, RQ, etc.).
- Proficiency with Redis for caching, pub/sub, or job queues.
- Hands-on experience building and deploying AI applications in production environments.
- Experience implementing RAG pipelines, AI agent orchestration, model fine-tuning, and performance monitoring.
- Familiarity with LLM evaluation techniques and tools for measuring model accuracy, reliability, and safety.
Required Skills:
- React
- Next.js
- Python
- Django
- FastAPI
- AWS
- GCP
- Azure
- Docker
- Kubernetes
- CI/CD pipelines
- Redis
- Celery
- RQ
- AI system development
- RAG (Retrieval-Augmented Generation) systems
- Multi-agent infrastructure
- Model fine-tuning
- Performance monitoring
- LLM evaluation techniques
- Git
- Collaborative development workflows
- Problem-solving skills
Benefits:
- Reporting directly to the founders.
- Competitive salary £100 – 200 K GBP + equity.
- Performance-based incentives.
- Opportunity to be instrumental in our expansion into the APAC market.
- Supportive and innovative work environment.
Seniority Level: Mid-Senior level
Employment Type: Full-time
Job Function: Engineering and Information Technology
Industries: Software Development
Salary: 100000 – 200000 GBP
Equity: equity, equity is part of the compensation package along with a competitive salary and performance-based incentives.
Full-Stack AI Engineer in London employer: TechTree
Contact Detail:
TechTree Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Full-Stack AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving React, Python, and AI systems. We want to see what you can do, so make it easy for potential employers to check out your work.
✨Tip Number 3
Prepare for interviews by practising common technical questions and coding challenges. We recommend using platforms like LeetCode or HackerRank to sharpen your skills. The more prepared you are, the more confident you'll feel!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Full-Stack AI Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Full-Stack AI Engineer role. Highlight your experience with React, Python, and any AI systems you've worked on. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI and how you can contribute to our mission at TechTree. Be sure to mention any relevant projects or experiences that showcase your expertise.
Showcase Your Projects: If you've got a portfolio or GitHub with projects related to AI or full-stack development, make sure to include it! We love seeing real-world applications of your skills, so don’t hold back.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at TechTree
✨Know Your Tech Stack
Make sure you’re well-versed in React, Next.js, and Python. Brush up on your knowledge of cloud environments like AWS or GCP, as well as containerization tools like Docker and Kubernetes. Being able to discuss your hands-on experience with these technologies will show that you're ready to hit the ground running.
✨Showcase Your AI Experience
Since this role involves developing AI-powered features, be prepared to discuss your previous work with AI systems. Highlight any projects where you've implemented RAG pipelines or worked with large language models. Sharing specific examples will demonstrate your expertise and passion for AI.
✨Collaboration is Key
This position requires working closely with founders and other teams. Be ready to talk about your experience in collaborative development workflows and how you’ve contributed to team success in past roles. Emphasising your ability to mentor junior developers can also set you apart.
✨Prepare Questions
Interviews are a two-way street! Prepare insightful questions about the company’s vision, the tech stack they use, and their approach to scaling AI applications. This not only shows your interest but also helps you gauge if the company is the right fit for you.
