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For Companies At a Glance
- Tasks: Design, build, and deploy AI agents for customer workflows across various platforms.
- Company: Join a fast-growing AI startup with a dynamic culture and innovative vision.
- Benefits: Competitive salary, equity, private healthcare, and exciting team socials.
- Why this job: Be a key player in revolutionising customer service with cutting-edge AI technology.
- Qualifications: Strong engineering background and experience with customer technical implementations.
- Other info: Opportunity to shape the future of AI solutions in a rapidly growing company.
The predicted salary is between 36000 - 60000 £ per year.
About Elyos AI
We are building the next generation of customer service with AI Agents. Our agents answer calls, reply to emails and WhatsApp messages, make bookings, take payments, and operate the CRM in the same way a human would. We founded Elyos in June 2023 and took part in the Y Combinator S23 batch. Our founders spent four months in San Francisco living and breathing AI. Since then, we have been growing revenue ~30% month on month and shipping fast. It has been wild so far - and we are just getting started. We recently raised a $13m series A to turbocharge our growth.
About The Role
We are looking for a Founding Solutions Engineer to join Elyos as one of our earliest technical hires outside the core engineering team. You will work closely with Adrian (CEO), product, and engineering to design, build, and deploy AI agents directly with customers.
In this role you will be:
- Building real implementations
- Writing code and configs
- Debugging live customer workflows
- Turning bespoke customer solutions into reusable product primitives
You will be the person who makes "this should work in theory" actually work in production.
Key Responsibilities
- Customer Solutions & Implementation
Design, build, and deploy AI agents tailored to customer workflows across voice, email, and messaging. Own end-to-end customer implementations, from technical discovery through to go-live. Configure conversation flows, prompts, integrations, and automation to handle bookings, payments, and CRM actions. Debug real-world edge cases (accents, noise, weird customer behaviour, CRM quirks, etc.). Set and uphold quality bars for agent performance, reliability, and customer experience. - Product & Platform Feedback
Act as the technical bridge between customers and engineering, translating real-world needs into clear product requirements. Identify recurring implementation patterns and turn them into reusable platform features. Contribute directly to product design decisions around APIs, workflows, tooling, and configuration models. Validate new features in production with customers and feed learnings back into the roadmap. - Internal Tooling & Scale
Build internal tools, templates, and playbooks to reduce time-to-live for new customers. Help define best practices for onboarding, configuration, and testing. Introduce automation and metrics to track implementation health and agent performance. Gradually help train and level up future solutions/implementation engineers as the team grows.
Experience
- Strong engineering background (software, systems, or applied engineering)
- Comfortable writing code, debugging systems, and working with APIs and integrations
- Able to explain technical concepts clearly to non-technical customers
- Experience working directly with customers or stakeholders on technical implementations
- Thrives in fast-moving, ambiguous environments
- Naturally curious, pragmatic, and obsessed with making things actually work
Bonus
- Experience with AI/ML systems, LLMs, or conversational AI
- Familiarity with CRMs, workflow automation, or telephony systems
- Startup or early-stage experience
- Product-minded engineer who enjoys shaping what gets built
Perks & Benefits
Competitive salary & equity - we are building together, we win together. AI-focused learning & development - stay ahead of the curve. Team socials & annual offsites - cool destinations included (last year we went to Greece). Private healthcare - because your well-being matters.
Founding Solutions Engineer in London employer: Elyos AI
Contact Detail:
Elyos AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Founding Solutions Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. The more you engage, the better your chances of landing that Founding Solutions Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to AI and customer solutions. This will give you an edge when discussing your experience during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on coding challenges and system design questions. Practice explaining your thought process clearly, as you'll need to communicate complex ideas to non-technical customers.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in being part of the Elyos team.
We think you need these skills to ace Founding Solutions Engineer in London
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI and customer service shine through. We want to see how excited you are about building the next generation of AI agents and how you can contribute to our mission at Elyos.
Tailor Your Experience: Make sure to highlight your relevant experience in engineering and customer implementations. We’re looking for someone who can bridge the gap between technical and non-technical aspects, so share examples that showcase your ability to do just that.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Remember, we want to understand your skills and experiences without having to decipher complex language.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at Elyos!
How to prepare for a job interview at Elyos AI
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technical skills required for the role. Brush up on your coding, debugging, and API integration knowledge. Be ready to discuss specific projects where you've implemented similar solutions, as this will show your hands-on experience.
✨Understand Customer Needs
Since you'll be working closely with customers, it’s crucial to understand their workflows and pain points. Research common challenges in customer service AI implementations and think about how you can address these in your interview. This will demonstrate your customer-centric approach.
✨Showcase Your Problem-Solving Skills
Prepare to discuss real-world scenarios where you’ve debugged complex issues or turned theoretical concepts into practical solutions. Use examples that highlight your ability to think on your feet and adapt to unexpected challenges, especially in fast-paced environments.
✨Be Ready to Collaborate
Elyos values teamwork, so be prepared to talk about your experience working with cross-functional teams. Share examples of how you’ve communicated technical concepts to non-technical stakeholders and how you’ve contributed to product design decisions. This will show you’re a great fit for their collaborative culture.