ABOUT SANA

Sana is an AI lab building superintelligence for work. We believe organizations can accomplish their missions faster when teams

can effortlessly access knowledge, automate repetitive work, and learn anything with the help of agentic AI. As part of Workday,

we are committed to building AI that augments people - not replaces them.

We bring this mission to life through two products. Sana Agents provide a seamless way to access all your company’s apps,

knowledge, and data, enabling AI agents to do real work so teams can process and act on information at unprecedented scale. Sana

Learn is an AI-powered learning hub that combines the simplicity of a modern learning platform with intelligent features like an

AI tutor, automated content generation, and interactive apps, making knowledge not just accessible but actionable.

We’re a talent-dense, product-obsessed team of engineers and designers from companies like Google, Spotify, Apple, and Databricks,

united by deep technical excellence and rapid iteration. Our tools already help over a million people learn and work better across

hundreds of leading enterprises - and we’re just getting started.

ABOUT THE ROLE

You’ll be the quality champion for Sana’s AI agent platform, ensuring our LLM-powered products are robust, reliable, and a delight

to use. You’ll design and implement test strategies that keep pace with rapid iteration, automate critical workflows, and drive a

culture of quality across engineering. This is a hands-on role for someone who thrives on constructing scalable ways of breaking

things, uncovering edge cases unique to agentic and LLM-based systems, and building the safeguards that prevent issues from

reaching production. You’ll help us deliver agent workflows that are safe, trustworthy, and enterprise-ready, for the AI landscape

of today and tomorrow.

IN THIS ROLE, YOU WILL

Design and implement test plans for agent infrastructure, LLM-based APIs, and end-to-end user journeys

Build and maintain automated test suites for backend, frontend, and integration layers, including prompt and response

validation for generative models

Develop tools and frameworks to accelerate testing and catch regressions early, especially in agent reasoning, tool use, and

context handling

Collaborate closely with engineers to embed quality into every stage of development, with a focus on the unique challenges of

AI/LLM systems (e.g., non-determinism, hallucinations, safety)

Lead root cause analysis and drive resolution for critical issues and incidents, including those arising from model updates or

agent behaviors

Advocate for best practices in code quality, observability, and CI/CD pipelines—ensuring quality signals are actionable and

visible

WHAT SUCCESS LOOKS LIKE

Critical bugs, regressions, and model failures are caught before they reach users—even as we scale and ship rapidly

Automated test coverage is high, reliable, and easy to maintain, including for LLM outputs and agent workflows

Release cycles are fast and safe. Confidence in shipping is high, even with evolving models and agent capabilities

Quality metrics (including model quality, agent reliability, and user experience) and dashboards provide clear, actionable

signals to the team

You are a go-to partner for engineers, raising the bar for quality and reliability in AI-driven systems

OUR TECH STACK

We build on a simple modern stack optimized for both humans and AI.

Backend: TypeScript, Kotlin, Node.js

Frontend: TypeScript, React, Tailwind

Databases: Postgres, Redis

Cloud infra: GCP/Kubernetes/Terraform

WHAT WE OFFER

Help shape AI's future alongside brilliant minds from Google, Apple, Spotify, Notion, Slack, Databricks, and BCG.

Competitive salary complemented with a competitive RSU program.

Swift professional growth in an evolving environment, supported by a culture of continuous feedback and mentorship from senior

leaders.

Work with talented teammates across 5+ countries, and global customers, from our beautiful office in Stockholm.

Roll

QA Engineer (Agents)

Plats

Stockholm

Publicerad

10 december

Sista ansökningsdag

16 augusti

Källa

Arbetsgivarens hemsida

Taggar för det här jobbet

Node.js React GCP Kubernetes AI TypeScript Go Rust Terraform CI/CD Tailwind Redis Databricks

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