What the role involves
About Yuma AI
- Yuma is building a next-generation orchestration platform that deploys autonomous AI agents dedicated to customer support in e-commerce.
- We already support 150+ paying merchants and help them automate up to 80% of their customer tickets freeing human agents for higher-value conversations.
- Founded by Guillaume Luccisano (3rd-time YC founder) at the end of 2022, Yuma is one of the leaders in the AI Support Automation space with 10+ consecutive months of double-digit growth.
- We are now a team of 25 passionate and ambitious people based between Paris, Barcelona and Boston and have grown revenue 5x in 2025. We aim to repeat this trajectory in 2026. The scale-up phase is fully underway. 🚀
About the role
This is a foundational role. You will be our first dedicated DevOps/Infrastructure Engineer and will take full ownership of everything related to cloud infrastructure, deployments, reliability, and scaling .
Our engineering team is made up of 7 people, operates with intensity, and moves fast. Rapid iteration is one of our biggest advantages. Over the past two years, we’ve built a tremendous amount, but the surface area ahead of us is even larger as we scale usage, models, and automation. You will play a key role in keeping our platform fast, reliable, and ahead of the curve.
This role goes beyond DevOps. You will also contribute at the LLM layer: running evaluations, experimenting with models, improving latency, optimizing costs, and helping shape how our AI systems operate at scale. If you enjoy working at the intersection of infrastructure, backend systems, and AI, this is exactly the kind of role where you’ll thrive.
What You Will Own
Infrastructure & Platform
- All cloud infrastructure across AWS, GCP, and Azure.
- Kubernetes cluster management, scaling, upgrades, and security.
- CI/CD pipelines (GitHub Actions) and deployment systems.
- Observability, monitoring, logging, alerting, and reliability practices.
- Incident response, on-call rotation, and uptime improvements.
- Cost optimization and infra-level performance tuning.
- Security best practices, IAM, secrets, policies, and overall infra hygiene.
Backend & Data Systems
- High-scale PostgreSQL (large DB, indexes, performance tuning).
- Redis and Sidekiq pipelines, queue scaling, job parallelization.
- API performance and throughput.
AI / LLM Systems
- Manage and optimize LLM deployments across cloud providers.
- Improve latency, reliability, and cost through routing and system architecture.
- Help build and maintain eval pipelines and A/B tests.
- Contribute directly at the app level (prompts, agents, routing).
- Support or prototype self-hosted model experiments (optional but valuable).
The Ideal You
- You have 8+ years of experience in DevOps / infrastructure roles, ideally in fast-paced SaaS or startup environments. You’ve scaled production systems before and know how systems behave under real load.
- You’re equally comfortable deep in Kubernetes or writing Ruby/Python for a quick script, tool or LLM eval. You care about reliability, speed and pragmatism. You enjoy working on AI systems and have hands-on experience with LLM-powered applications.
Your toolkit includes
- Kubernetes, Docker
- AWS, Azure, GCP (strong in at least 2)
- GitHub Actions CI/CD
- PostgreSQL, Redis, Sidekiq
- LLM APIs (OpenAI, Azure, Anthropic; self-hosted a plus)
- Terraform or similar IaC
- Strong coding ability to contribute across the stack
The Alternative You
If you're earlier in your career but have strong infrastructure experience and clear upside, and you can reasonably grow into the full scope within 2 to 3 years, feel free to reach out. Raw talent is welcome, but depth of experience scaling systems is a big plus here.
Why Yuma ?
- High impact with ownership from day one : join a small, international engineering team where every feature you ship and every solution you design is directly visible in production.
- Competitive compensation based on experience and stock options
- Fast growth = fast learning cu
What they ask for
About Yuma AI
## What is Yuma AI? Yuma is automating customer support by providing an AI Support Agent orchestration platform. Yuma provides autonomous AI agents dedicated to customer service and e-commerce. We integrate directly with help desk software (Zendesk, Kustomer, Gorgias, etc.) and focus on helping large Shopify brands deal with their high volume of support requests. Top merchants using Yuma can automate up to 80% of their support tickets fully autonomously. ## Why do Shopify merchants need Yuma? There are thousands of large Shopify merchants around the world generating $10M+ a year. Most of them have taken over some niches and are great at what they do: selling their products. But they all have one thing in common: they all hate customer support. It's a burden for them and a huge source of cost, as they receive hundreds of requests per day. Some of them have dozens of support agents on staff, usually offshore, and the overall quality is still often pretty poor while staff turnover remains high. Those merchants have been promised automation for years but have always been disappointed by the outcome. As customers, we have all had to live through a terrible support automation experience before, so this is no secret, and everyone knows that the current state of the technology is quite bad. ## Yuma is solving this in a few ways: Yuma isn't just another RAG chatbot. Our platform provides autonomous AI agents dedicated to support and ecommerce. These agents are powered by knowledge, follow processes, and are managed by our in-house AI orchestration technology. This ensures safety, control, and quality at every step. We believe that to truly automate customer support, we must develop a platform that mimics the actions of a human support agent. That's exactly what we've been doing. Currently, our top merchants are automating 60% of their support tickets through Yuma. Yuma can fetch information from external services and take actions in other apps as needed to resolve each ticket. We are laser-focused on building the best AI support agent platform and aim to achieve 80% true automation in the next few months. ## Fun Fact Yuma got started by accident. This is my third YC startup after Socialcam (W12) and Triplebyte (S15). I released Yuma as a prototype for fun in mid-December 2022 and was overwhelmed with demo requests. That's when I knew I was onto something and had to turn this into a real company, once again.
Full Yuma AI profile