Elyos AI
Operations
FoundingSolutionsEngineer
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“Founding Solutions Engineer at Elyos AI. Skills: AI Agents, customer implementations, debugging live customer workflows, turning bespoke customer solutions into reusable product primitives. 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”
What You'll Achieve.
makes “this should work in theory” actually work in production; reduce time-to-live for new customers; track implementation health and agent performance
Industry & Context.
Debugging live customer workflows; Debug real-world edge cases
What They're Looking For.
Must Have
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
Nice to Have
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
What You'll Do.
and deploy AI agents tailored to customer workflows across voice
Own end-to-end customer implementations
from technical discovery through to go-live
Configure conversation flows
and automation to handle bookings
Debug real-world edge cases
Set and uphold quality bars for agent performance
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
and configuration models
Validate new features in production with customers and feed learnings back into the roadmap
and playbooks to reduce time-to-live for new customers
Help define best practices for onboarding
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
How You'll Work.
Team & Collaboration
work closely with Adrian (CEO), product, and engineering; Act as the technical bridge between customers and engineering
Communication Scope
Able to explain technical concepts clearly to non-technical customers
Process & Methodology
Own end-to-end customer implementations, from technical discovery through to go-live
Full Job Description
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, tool
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