Safety Engineer (Backend Leaning)
About ElevenLabs
ElevenLabs is an AI research and product company transforming how we interact with technology. 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 Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always.
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.
- ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.
- 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.
How we work
High-velocity
Impact not job titles
AI first
Excellence everywhere
Global team
What we offer
Innovative culture
Growth paths
Learning & development
Social travel
Annual company offsite
Co-working
What you’ll do
Build safety systems
Respond to emerging threats
Own production infrastructure
Bring ML models into production
Build end-to-end solutions
Collaborate across teams
Product
Legal
Safety Policy
Shape our technical direction
Requirements
- 5+ years of software engineering experience building and operating production systems.
- Strong backend engineering experience, including designing APIs, working with databases, and building scalable services.
- Proficiency in Python and experience with modern backend frameworks.
- Experience building and maintaining distributed systems and cloud-based applications.
- Comfortable owning systems end to end, from technical design and implementation through deployment, monitoring, and ongoing maintenance.
- Experience working across different parts of the stack, with the ability to build internal tools or frontend interfaces when needed.
- Strong problem-solving skills and an ability to navigate ambiguous requirements and make pragmatic engineering decisions.
- Ability to collaborate effectively with engineers and non-technical stakeholders across different functions.
Bonus
- Experience building Trust & Safety, content moderation, fraud detection, or abuse prevention systems.
- Experience building guardrails or safety infrastructure for AI agents and LLM-based applications.
- Experience deploying and integrating ML models into production applications.
- Familiarity with Kubernetes, Docker, CI/CD pipelines, and cloud infrastructure (AWS/GCP).
- Experience with monitoring and observability tools such as Prometheus and Grafana.
- Experience with React or other modern frontend frameworks.
- Experience with real-time data processing, event-driven architectures, or technologies such as Kafka and Redis.
Location
Skills
Who can apply
The employer didn't state any visa, work authorization, citizenship or clearance requirements in this posting. Confirm with the employer before applying.
Read automatically from the employer's posting text. Always confirm with the employer — requirements can change after a job is published.