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.
About The Role
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.
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.
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