At a Glance
- Tasks: Design and build AI systems for millions of customer conversations.
- Company: Innovative AI company transforming customer service with cutting-edge technology.
- Benefits: Competitive salary, equity, relocation support, and access to the latest AI tools.
- Other info: Join a high-trust culture with exceptional autonomy and growth opportunities.
- Why this job: Own impactful projects and shape the future of AI-powered interactions.
- Qualifications: Strong software engineering skills and experience with distributed systems.
The predicted salary is between 70000 - 90000 £ per year.
When you apply, our AI-powered matching platform considers you not only for this opportunity, but also for other relevant roles across our network; one application can unlock multiple career opportunities. We only work with real companies hiring for live positions. Every opportunity on our platform is an active search. If there's a strong match, we'll guide you through the process; if not, we won't ignore you.
Our client is building the next generation of AI-powered customer conversations. Every day, millions of people interact with businesses over the phone but traditional customer service remains slow, frustrating, and inefficient. By combining cutting-edge AI with scalable infrastructure, our client enables enterprises to deploy intelligent voice agents capable of handling millions of conversations while delivering outstanding customer experiences. Backed by leading investors and trusted by major enterprise customers, they're building one of the defining AI software categories of the coming decade.
Location: Berlin, Germany (On-site)
Employment Type: Full-time
Level: Mid-Senior Level
Compensation: €85,000–€160,000 + Equity
Relocation & Visa Support: Available for Candidates Across Europe
We're looking for an exceptional AI Systems Engineer who thrives on ownership, speed, and solving difficult engineering problems. You’ll design and build the core systems powering millions of AI-driven customer conversations while working alongside a highly technical team that values experimentation, rapid execution, and real business impact over bureaucracy. This isn't a role where you'll simply implement tickets; you'll own projects from idea to production, influence technical direction, and help shape the future of AI-powered customer interactions.
What You'll Do:
- Build scalable, reliable backend systems supporting millions of AI conversations
- Own critical infrastructure powering AI agents in production
- Evaluate, benchmark, and improve modern AI and voice models
- Design distributed systems capable of operating at massive scale
- Solve challenging infrastructure, latency, and reliability problems
- Collaborate closely with Product and Engineering to deliver customer impact
- Take projects from idea through production deployment with full ownership
- Continuously improve platform performance, scalability, and AI capabilities
What We're Looking For:
- Strong software engineering fundamentals
- Experience building distributed, production-grade systems
- Excellent problem-solving and systems thinking
- High ownership with a strong bias for action
- Comfortable working in highly ambiguous environments
- Customer and business outcome mindset
- Strong collaboration and communication skills
Nice to Have:
- Experience with Voice AI, LLMs, or Generative AI
- TypeScript and/or Python experience
- High-growth startup experience
- Experience building AI infrastructure or AI-powered products
- Entrepreneurial background, side projects, or hackathon experience
What We Offer:
- €85,000–€160,000 salary
- Meaningful equity package
- Relocation and visa sponsorship for Candidates across Europe
- Access to the latest AI tools
- Urban Sports Club membership
- Free dinners for late evenings
- Direct ownership over critical product infrastructure
- High-trust engineering culture with exceptional autonomy
Help build the AI infrastructure powering millions of customer conversations every day...
StudySmarter Expert Advice🤫
We think this is how you could land Founding AI Systems Engineer / Voice AI Engineer in 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 C&D Talent Advisory 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 C&D Talent Advisory.
✨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 C&D Talent Advisory.
✨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 C&D Talent Advisory 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 Founding AI Systems Engineer / Voice AI Engineer in 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 C&D Talent Advisory.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at C&D Talent Advisory 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 C&D Talent Advisory
✨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 C&D Talent Advisory 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.
