At a Glance
- Tasks: Build real-time AI products and shape genuine human interactions.
- Company: Innovative tech company focused on real-world AI solutions.
- Benefits: Competitive salary, hybrid work, and a chance to make an impact.
- Other info: Zero bureaucracy — just build and deliver impactful AI solutions.
- Why this job: Join a small team and build products that people actually use.
- Qualifications: Expertise in Python and interest in cutting-edge AI technologies.
The predicted salary is between 42000 - 84000 £ per year.
We’re building AI assistants that live in the real world — answering calls, joining video rooms, running in physical spaces. It’s not a research project, this is a chance to work on a product launching in real-word locations and scenarios. We’re looking for someone who wants to build products and own problems end-to-end, work directly with customers, and get things done without layers of PMs or design teams. If you’re the kind of engineer who likes to be left alone to build — and then sit down with product owners to see if it actually works — this might be for you. 🎯 What You\'ll Do Build real-time AI products using Python, AWS, LiveKit Shape AI assistants for genuine human interactions Own problems end-to-end — no PM bureaucracy Deploy scalable infrastructure (ECS, Lambda, DynamoDB) Work directly with customers to iterate fast Frontend development when needed (React/React Native) ⚡ What We Want Python expert comfortable with large, async projects Interest in cutting-edge AI: RAG, Knowledge Graphs, Graphiti AWS confident — infrastructure doesn\'t intimidate you Ship-it mentality — you want to build products people actually use London-based (hybrid work) Independent worker who enjoys talking to users 🎁 Why Join Us Early role in a shipping product with real customers Big project, small team — your code matters Zero bureaucracy — just build and deliver Shape a real-world AI project from the ground up Ready to build AI that actually works?
AI Engineer - Python, React, AWS - £70,000 - London employer: WUNDERTALENT
WUNDERTALENT is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those looking to make a significant impact in the tech industry. As a Senior Data Engineer, you will enjoy ample opportunities for professional growth while collaborating with a talented team in a rapidly growing startup environment. With a focus on transforming the UK services industry, you'll be part of a mission-driven company that values creativity and offers a supportive atmosphere for your career development.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer - Python, React, AWS - £70,000 - London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at WUNDERTALENT or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to WUNDERTALENT.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like WUNDERTALENT.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like WUNDERTALENT that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace AI Engineer - Python, React, AWS - £70,000 - London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at WUNDERTALENT.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at WUNDERTALENT and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at WUNDERTALENT
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If WUNDERTALENT uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
