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Engineering - Internal AI Transformation
ElevenLabs
Remote · EuropeSalary not disclosedfull-timeElevenLabs Careers
As an Internal AI Engineer at ElevenLabs, you'll be embedded at the frontier of how we scale - acting as a forward-deployed engineer across our GTM, Operations, and Finance teams. You won't just build tools; you'll co-design and ship agentic AI workflows that eliminate manual toil and fundamentally reshape how our people operate.
Responsibilities
- ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
- ElevenAPI gives developers access to our leading AI audio foundational models.
- Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.
- Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
- As an Internal AI Engineer at ElevenLabs, you'll be embedded at the frontier of how we scale - acting as a forward-deployed engineer across our GTM, Operations, and Finance teams. You won't just build tools; you'll co-design and ship agentic AI workflows that eliminate manual toil and fundamentally reshape how our people operate.
- Your impact goes beyond the code. You'll own high-stakes automations from discovery to production, acting as a technical partner to internal teams. The patterns, guardrails, and tooling you define will become the blueprint other teams reach for - the standard for how ElevenLabs harnesses AI safely and at speed.
- Designing and iterating on AI agents and workflow orchestrations using tools like ElevenAgents, Claude, and n8n.
- Building reusable automation services, patterns and shared templates that multiply the output of every team you touch
- Owning experiments end-to-end: spotting the opportunity, building the solution, and measuring the impact
- Developing evaluation and monitoring frameworks so our AI-native workflows are reliable, auditable, and safe
Languages
- Work format
- Remote
- Seniority
- Mid
- Posted
- 22 Oct 2026
- Last verified
- In the last 5 days
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