> Markdown version of [/jobs/ext/3903903-engineering-internal-ai-transformation](https://www.wearedevelopers.com/jobs/ext/3903903-engineering-internal-ai-transformation). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Engineering - Internal AI Transformation - **Company:** ElevenLabs - **Location:** London, UK (Remote available) - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Computing, DevOps, Python (Programming Language), Salesforce.Com, SQL Databases, Systems Integration, Retrieval-Augmented Generation, Large Language Models, Backend, Agentic-AI, Kubernetes, Build Tools, Claude, Webhooks, Docker - **Published:** October 24, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5940271753 ## About the Role * 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 ## Description * 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. * Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. * Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. * Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. * Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. * Co-working: If you're not located near one of our main hubs, we offer a monthly co-working stipend. The role / impact 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. The team / how we work 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. What you'll actually be working on * 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