Senior DevOps Infrastructure & AI LLM Systems Engineer, Yuma AI

Salary not provided

+ Stock Options

AWS

Docker

Kubernetes

GCP

Python

Redis

Sidekiq

Postgres

Ruby

Terraform

Azure

Senior and Expert level

Barcelona

Remote from Europe, UK

More information about location

Customer support automation

Be an early applicant

Customer support automation

21-100 employees

B2BArtificial IntelligenceCustomer serviceSaaSAutomation

Be an early applicant

Salary not provided

+ Stock Options

AWS

Docker

Kubernetes

GCP

Python

Redis

Sidekiq

Postgres

Ruby

Terraform

Azure

Senior and Expert level

Barcelona

Remote from Europe, UK

More information about location

21-100 employees

B2BArtificial IntelligenceCustomer serviceSaaSAutomation

Company mission

To empower merchants with the most recent AI capabilities while empowering customer support agents in their mission to delight customers.

Job

Company

Role

Who you are

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
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

What the job involves

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
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
High-scale PostgreSQL (large DB, indexes, performance tuning)
Redis and Sidekiq pipelines, queue scaling, job parallelization
API performance and throughput
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)

Our take

Yuma AI is transforming eCommerce customer support with its AI-driven automation solutions. By integrating advanced AI agents into platforms like Shopify, Yuma enhances productivity, reduces operating costs, and improves customer satisfaction.

The platform stands out for its ability to generate human-like interactions, mirroring brand tone and boosting operational efficiency. This has proven a success and the platform is rapidly increasing ticket automation rates and reducing response times.

In its pursuit of continued growth, Yuma has closed a successful Seed funding round. With this capital, the platform aims to expand its capabilities and further revolutionize eCommerce customer support.

Freddie

Company Specialist at Welcome to the Jungle

Company

Funding (2 rounds)

Nov 2024

$5m

SEED

Mar 2023

$0.2m

SEED

Total funding: $5.2m

Company HQ

SoMa, San Francisco, CA

Leadership

Guillaume Luccisano

(Founder & CEO)

Previously co-founded Triplebyte where they served as CTO for 6 years. They also co-founded Socialcam where they served as the VP of Engineering for 3 years.

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