About Elyos AI
We’re 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’ve been growing revenue ~30% month on month and shipping fast. It’s been wild so far - and we’re just getting started. We recently raised a $13m series A to turbocharge our growth.
We’re looking for a Founding Solutions Engineer to join Elyos as one of our earliest technical hires outside the core engineering team. You’ll work closely with Adrian (CEO), product, and engineering to design, build, and deploy AI agents directly with customers.
In this role you’ll be:
Building real implementations
Writing code and configs
Debugging live customer workflows
Turning bespoke customer solutions into reusable product primitives
You’ll be the person who makes “this should work in theory” actually work in production.
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
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
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
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
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
💸 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.