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# Full-Stack Engineer (Back-End Leaning)

Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move.

[Apply for this job](#job-application)[View company](https://jobicy.com/company/elevenlabs.md)Share24 Sep 2026Published42Listing views1Application actions24 Oct 2026Apply before  Opportunity details

## About this role.

AI SummaryElevenLabs is seeking a back-end-leaning full-stack engineer to build and scale product capabilities around AI voice models used by millions of users. The role includes backend platform development, API and enterprise integrations, product improvements, and strengthening infrastructure for availability, performance, and security. Candidates need strong Python and backend engineering expertise, including system design, cloud infrastructure, storage, testing, and security fundamentals. The company emphasizes high-velocity, autonomous execution and cross-functional collaboration with frontend, growth, and sales teams. Formal credentials are not required; demonstrable work on difficult technical problems is the primary qualification.

## Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

### Job Complexity

5/5EasyHard

### Pace & Pressure

5/5RelaxedFast-paced

### Autonomy Level

5/5GuidedFull ownership

### Communication Load

4/5IndependentCollaborative

AI insightThis is a technically demanding role supporting high-scale AI products, with expectations across backend architecture, infrastructure reliability, security, and integrations. The high-velocity environment and emphasis on independently solving hard problems increase the complexity.

## Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job medianHighly competitive$155,000US market range$120k–$190k0$209k

AI insightNo actual salary is disclosed in the posting. Estimated US-market base salary for a strong back-end/full-stack engineer working on scalable AI infrastructure is approximately $120,000–$190,000 yearly, with a midpoint estimate of $155,000; actual compensation may vary by seniority, location, equity, and total-rewards structure.

## Core skills

Skills and capabilities most closely associated with this opportunity.

[Python](https://jobicy.com/jobs?search_keywords=Python.md)[Backend Development](https://jobicy.com/jobs?search_keywords=Backend%20Development.md)[Full-Stack Development](https://jobicy.com/jobs?search_keywords=Full-Stack%20Development.md)[API Design](https://jobicy.com/jobs?search_keywords=API%20Design.md)[System Design](https://jobicy.com/jobs?search_keywords=System%20Design.md)[Cloud Infrastructure](https://jobicy.com/jobs?search_keywords=Cloud%20Infrastructure.md)[Data Storage](https://jobicy.com/jobs?search_keywords=Data%20Storage.md)[Software Testing](https://jobicy.com/jobs?search_keywords=Software%20Testing.md)[Security Fundamentals](https://jobicy.com/jobs?search_keywords=Security%20Fundamentals.md)[Kubernetes](https://jobicy.com/jobs?search_keywords=Kubernetes.md)

Sample interview questionsDescribe a backend system you designed or significantly improved to handle increased scale or reliability requirements.I would explain the original bottleneck, the expected load and reliability targets, the architecture changes I made, and the measured outcome. I would also cover observability, rollout safeguards, and trade-offs such as consistency, latency, and operational complexity.

How would you design an API for a product that serves both consumer users and enterprise integrations?

I would start with clear resource models, stable versioning, consistent authentication and authorization, idempotency for write operations, and well-documented errors. For enterprise needs, I would add rate limits, auditability, webhooks, service-level monitoring, and a deliberate deprecation policy.

What practices do you use to ensure a Python service is secure and maintainable in production?

I use code review, automated tests, dependency and secret scanning, least-privilege access, input validation, structured logging, and security-focused threat modeling for sensitive paths. I also prioritize metrics, tracing, alerting, and documented operational runbooks so the service can be safely maintained.

How would you investigate a sudden increase in latency for a high-traffic API?

I would first confirm the scope through dashboards and traces, then segment latency by endpoint, customer, dependency, and deployment version. I would inspect database queries, cache behavior, queue depth, downstream services, and resource saturation, mitigate the immediate issue, and follow with a root-cause review and preventive changes.

Tell us about a time you solved a difficult technical problem without relying on a formal process or extensive direction.

I would describe how I clarified the desired outcome, gathered evidence from the codebase and users, proposed a small testable solution, and communicated risks early. I would emphasize ownership, iterative delivery, and the concrete impact of the final implementation.

### 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 $11B – multiples of 11, always.

We have expanded from voice into three main platforms:

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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.

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ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.

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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

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High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.

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Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.

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AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.

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Excellence everywhere: Everything we do should match the quality of our AI models.

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Global team: We prioritize your talent, not your location.

### What we offer

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Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.

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Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact – beyond your immediate role and responsibilities.

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Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.

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Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.

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Annual company offsite: Each year, we bring the entire team together in a new location – past offsites have included Croatia and Italy.

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Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.

### About the role

We are looking for back-end engineers to expand the functionality of our system. There is flexibility in staffing engineers on projects across the company, depending on the project, your specific responsibilities might include:

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Building and maintaining our platform on top of our cutting-edge voice models, which are used by millions of users.

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Improving our existing products to ensure that they’re intuitive, powerful and make innovative use of our research team’s latest break-throughs. This could involve adding significant functionality, or building integrations with other common consumer/enterprise solutions.

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Maintaining and strengthening our internal infrastructure as we scale and grow to ensure that our products remain live, performant and secure.

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Collaborating closely with engineers and others from the Frontend, Growth and Sales teams to understand, and design solutions for our customers.

### Requirements

We do not require any formal experience, certifications, or degrees. Instead, we are seeking enthusiastic software engineers who can showcase solving impressively hard problems with artifacts such as past projects, or GitHub contributions. We do require:

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Expertise in Python.

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A strong background in backend development.

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Familiarity with common software and system design patterns and infrastructure including APIs, cloud infrastructure tools, storage solutions, data structures etc.

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Knowledge about test design and security fundamentals.

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Bonus:

Experience with Kubernetes.

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Experience with Stripe or other payment processing providers.

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Basics about how AI models work.

### Location

This role is remote and can be executed globally. If you prefer, you can work from our offices in London, New York, San Francisco, and Warsaw.

#LI-remote

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Show more

[Apply now >](https://jobicy.com/jobs/154018-full-stack-engineer-back-end-leaning.md)

>  Annual salary information is not provided for this position. Explore salary ranges for similar roles in our [Salary Directory ›](https://jobicy.com/salaries.md)

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