Software Engineer, AI

Cleric is an AI-powered agent designed to manage and resolve issues in production environments autonomously. It uses an LLM-based reasoning engine to react to, interpret, and implement solutions to production issues, even those it’s encountering for the first time.

Technology companies are grappling with the complexity of production environments, distracting engineers from their core task of software development. Engineers are drowning in a sea of observability data, but still require manual intervention to solve problems.

We are building a future where engineers can concentrate on software development while Cleric takes care of the production environment. Our mission is to develop autonomous software that can manage, repair, and optimize itself—the holy grail.

Now is a divine time to join. We’re a small group of veterans in AI, software, and infrastructure, backed by a leading AI venture capital firm and Silicon Valley angels.

About The Role:

We’re hiring a Software Engineer, AI. You will be a key contributor to the development of our agent platform. You will work in our tight knit engineering team to develop the reasoning, learning, and integrations of our SRE agent, as well as contribute to the underlying runtime and technical architecture of the product. You’ll help maintain engineering standards, contribute to the experience for our earliest customers, and support the technical foundation of our company.

Ideally, these qualities describe you:

• You love building tools for fellow engineers. You consider it a craft.
• You have strong software engineering fundamentals and have opinions on how to build robust, scalable, and secure software.
• You’ve operated high-scale distributed infrastructure. You’ve seen it done right, and you’ve seen it gone wrong. Kubernetes, Kafka, Spark, microservices, and all the usual suspects.
• You have experience building systems in high performance languages like Rust, C++, Go, Kotlin, or Scala.
• You are obsessed with generative AI and have a background in building ML/AI systems.
• You’re proficient in all the major tools (open or closed source) used in building and optimizing AI products.
• You likely have 4 or more years of experience.

Examples of what you’ll do:

• Own the development of our product, Cleric. Everything from the LLM-based reasoning engine, memory module, evaluation stack, simulation environment, and more.
• Ship a high-scale agent service capable of concurrently managing thousands of remote services and integrations.
• Help us iterate toward product-market fit in an early-stage, open ended environment.
• Embody our end users (engineers with operational responsibilities), immersing yourself in their needs, pains, and aspirations.

How we work:

• Small teams, big impact: We believe that small teams can deliver great products.
• Culture matters: We value a positive and inclusive work environment.
• In-person collaboration: We believe in working closely to deliver the best results.
• AI-first approach: We don’t simply build AI products; we augment ourselves with it.

Interview process:

• Screen: A quick chat with one of the founders.
• Product assessment (1 hour): We’ll deep dive into the product challenges in building agent based systems, everything from UX to go-to-market.
• Software engineering session (1 hour): We’ll build a simple application together. Think practical software engineering and not leetcode.
• System design session (1 hour): We will work through a system design problem with you. This will be related to the work you do daily.
• Culture fit discussion: We’ll talk about your background, your motivations, and our team culture.
• Food: Grab lunch or dinner with us!