Founding Solutions Engineer
Elyos AI – Founding Solutions Engineer
📍 Location: Old Street, London, UK (Onsite, 5 days a week)
Mission
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.
About Elyos AI
We founded Elyos in June 2023 and took part in the Y Combinator S23 batch. We 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.
Why join us?
If you love building from zero, working directly with customers, and shipping real software that solves messy real-world problems, this role is for you. As a Founding Solutions Engineer, you’ll sit right at the intersection of engineering, product, and customers — shaping both what we build and how it’s deployed in the real world.
You’ll work hands-on with LLMs, Speech-to-Text, Text-to-Speech, Voice Activity Detection, and workflow automation to help real businesses handle calls, book jobs, take payments, and deliver best-in-class customer service.
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 & meaningful equity – we’re building this together
📚 AI-first learning & development – stay at the cutting edge
✈️ Team socials & annual offsites – last year was Greece
🏥 Private healthcare – we look after our people
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