About the Job
We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and ...
We have expanded from voice into three main platforms:
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.
Key Responsibilities
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.
You'll join a lean, high-velocity team with a shared obsession: turning broken, manual processes into elegant automated systems. We move fast through rapid experimentation, work closely with operators and business owners to uncover the real problem, and ship pragmatic solutions without waiting for perfect specs.
Designing and iterating on AI agents and workflow orchestrations using tools like ElevenAgents, Claude, and n8n.
Integrating AI systems with our core business stack - Salesforce, Slack, Ashby, and more
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
What we're looking for
Proven experience building and shipping automations or applications in production - you know what it takes to go from fuzzy business pain to something real teams depend on
AI-First Instincts: Strong familiarity with LLM capabilities, prompting strategies, RAG patterns, and a genuine passion for building agentic workflows.
Deep Backend Expertise : Strong Python and SQL and system design patterns (APIs, webhooks, orchestration layers)
A systems-thinking mindset : you design with security, auditability, and blast radius in mind from the start
Builder and AI-First instincts: you don't wait to be told what to build - you spot the pattern, propose the fix, and ship it.
Infra & DevOps Instincts: Hands-on experience operating cloud infrastructure (GCP preferred), Kubernetes, Docker, and enterprise authentication flows
