About incident.io

incident.io is the leading all-in-one platform for incident management. From small bugs to major outages, incident.io helps teams respond fast, reduce downtime, and improve every time something goes wrong.

Since launching in 2021, we've helped 800 companies-including Netflix, Airbnb and Block-resolve over 250,000 incidents. Every month, more than 30,000 responders across Engineering, Product and Support use incident.io to fix things faster.

We're a small team that cares deeply about pragmatism, quality, magic, and pace. We are backed by leading investors like Index Ventures, and Point Nine, alongside many angel investors who are founders and executives of world-class companies.

What we're building

When site outages, data breaches, or functionality issues strike, incident.io brings together the right people, streamline response efforts, and provide tools to fix issues quickly.

Over the last 9 months, we've built some of the most ambitious AI-native features in our product. We're now working on Investigations-an AI agent that identifies problems, explains root causes, and eventually fixes issues for you. We're not just applying AI to our product; we're reimagining incident response with AI, working with cutting edge technologies to build something completely new.

What we think we can achieve keeps increasing, and we're looking to grow the team with AI engineers to make it happen.

What AI Engineering looks like here

We've gone from sprinkling moments of magic with AI to building an investigative agent, a copilot and more. All powered by a world-class internal platform: one that helps us run and evaluate LLMs, orchestrate complex agents, and build safety checks around the edges. You'll be joining this established team, and continue to solve complex problems using LLMs.

To power this, the team have embraced the inherent challenges of working with non-deterministic systems. We've built our own eval frameworks, orchestration engines, and debugging tools-because the ones on the market weren't good enough. You'll use these systems to improve the performance of our AI agents, and help develop these frameworks further.

We prioritise pace and impact for customers, above all else. You'll be building AI that transforms the most stressful moments in engineering, for world class companies like Netflix, Block and Airbnb. Your work will directly impact how some of the world's most innovative companies respond when things go wrong, saving countless hours of engineering time.

What you'll do

1. Design, develop, and implement agents that can investigate incidents, provide insights, and suggest solutions
2. Drive end-to-end development of AI infrastructure and applications: building real products people use, not just research prototypes.
3. Building AI evaluation frameworks and implementing systems to measure and improve AI performance

What you can bring to the team

We don't expect you to have experience with everything in our stack, but we do look for strong fundamentals, a passion for solving complex problems, and the ability to navigate ambiguity with confidence.

1. Excitement to build a state of the art AI application with the frontier models, tools and techniques that will be used by the best AI labs & product companies in the world.
2. 3+ years building production-ready applications in programming languages such as Go, Python, Ruby on Rails, or React - similar languages used in AI development.
3. Customer-focused and product-minded approach to building AI solutions that solve real user problems.
4. Comfortable with the unknown and adept at navigating the unique challenges of AI product development.

Our tech stack

Our primary development stack includes Go, TypeScript with React, and Postgres, with deployment on Google Cloud Platform using GKE and Cloud SQL.

Our stack for AI development is somewhat different that most. We do rely on products like Anthropic, Vertex, and OpenAI but we've also invested heavily in our internal AI tooling.

We developed our own library for building agents, evaluating performance and backtesting changes - we call this the "Workbench", which means we're able to take an idea very quickly to production and then monitor how it's performing in the wild.

The salary for this position is determined by several job-related factors, such as experience, relevant skills, training, location, business needs, or market demands. The salary range for this role is £110,000-£130,000, plus offers equity options.

Our commitment to diversity

We embrace diversity at incident.io, and believe in creating supportive and inclusive environments where all of our employees can succeed. To build a product that's loved by everyone, we need a team with all kinds of different perspectives, experiences, and backgrounds. That's why we're committed to hiring people regardless of race, religion, colour, national origin, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, age, neurodiversity status, disability status, or otherwise.

Got a question?

If you have any questions before applying to the role, please email the team at jobs@incident.io