Elyos AI
Applied AI Engineer
London
£150k – £250k/yr
Posted about 20 hours ago
Get notified of more jobs like this · No spam, ever
How your CV stacks up
1Upload CV
2Analyse CV
3Improve CV
Upload your CV to see how well it fits this job role
?%
About Us
At Elyos, we’re building AI voice agents that help trades businesses run smoother, scale faster, and deliver better customer experiences. As one of our founding engineers, you won’t just build software - you’ll shape the way Elyos works, interacts with customers, and grows. If you love building things from the ground up, solving complex technical challenges, and working with cutting-edge AI tech, you’re in the right place.
What You'll Do
- Build and ship core product features across our stack (Python, TypeScript, cloud infra, event-driven systems, third party integrations).
- Design, build, and iterate on AI voice agents - prompt engineering, tool calling, conversation design, and orchestration across speech-to-text, LLM, and text-to-speech pipelines.
- Make our agents measurably better: build evals, monitoring, and feedback loops so we know how agents perform in the real world, catch regressions, and turn live customer conversations into improvements.
- Own the lifecycle: work directly with customers to understand their needs, scope solutions, and deliver outcomes.
- Move fast, when it matters: know when to hack an MVP to deliver value quickly, and when to invest in scalable foundations.
- Raise the bar: use best practices everywhere (e.g. testing, documentation, reliability, security) and help others do the same.
Who You Are
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
- Customer-obsessed: You start with the customer. You empathise with their needs, ask the right questions, and build with their success in mind.
- Biased for action: You try stuff. You move quickly, experiment often, and aren't afraid to learn in public.
- Owner's mindset: You don't wait for permission - you take responsibility for outcomes and raise the bar for the whole team.
- Ambitious & bold: You think big and take bets. You're excited to explore new ideas, technologies, and markets that others might shy away from.
- Team-first collaborator: You make the next pot of coffee. No task is beneath you, and you care about building a team where everyone can thrive.
- Care deeply: You give a shit about the quality of your work. If something you built isn't great, it nags at you until you make it better.
What You Bring
- Strong fundamentals in software engineering - you can design, debug, and ship reliable systems.
- Proficiency with at least one of our core languages (Python or TypeScript) - or proof that you can learn what's needed.
- Hands-on experience building with LLMs in production - prompting, tool calling, RAG, or agentic workflows - and shipping AI products end-to-end (at a startup, on a side project, in open source, or at scale in a larger company).
- An eye for the non-deterministic: you understand that AI systems fail in weird ways, and you know how to test, evaluate, and harden them for real users.
- Comfort working across the stack - frontend, backend, infrastructure. You are everywhere.
- Ability to work directly with customers or non-technical stakeholders to scope, negotiate, and deliver solutions.
- A track record that shows drive: maybe you've launched something on your own, contributed to open source, or taken ownership of hairy projects others avoided.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Bonus if you have
- Experience with voice AI - speech-to-text, text-to-speech, telephony, or real-time audio - and the latency and reliability challenges that come with it.
- Familiarity with LLM evals, observability, or fine-tuning workflows.
- Early-stage startup experience, especially in AI, voice platforms, or event-driven systems.
- Familiarity with modern cloud infrastructure (Kubernetes, serverless, distributed systems).
- Evidence of customer empathy - support experience, founder experience, or just building things that solved real user pain.
Perks & Benefits
- 💸 £150k-£250k DOE & 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.
- 🔮 5% matched pension
Trusted by 25,000+ job seekers
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Python
TypeScript
LLM Production
Prompt Engineering
RAG
Agentic Workflows
Speech-to-Text
Text-to-Speech
Cloud Infrastructure
Event-Driven Systems
Tool Calling
Conversation Design
LLM Evals
Kubernetes
Distributed Systems
Software Engineering
Location