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Staff Software Engineer, AI at Cleric | San Francisco

ClericSan Francisco
On-site Full-time

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Experience Level

Mid to Senior

Qualifications

QualificationsThe ideal candidate will have experience in:Building and operating production systemsMachine learning fundamentalsEnd-to-end agent developmentUsing coding agents and AI assistants effectivelySoftware engineering best practices

About the job

Become a Part of Cleric

At Cleric, we are envisioning a future where engineers can dedicate their talents to creating groundbreaking products, liberated from the burdens of operational tasks. Our current focus is an AI-driven Site Reliability Engineering (SRE) agent that autonomously resolves issues within production environments. This innovative solution employs a large language model (LLM) reasoning engine to understand, interpret, and implement solutions to production problems, even when faced with new challenges.

Now is an incredible moment to join our team. We are a compact group of seasoned professionals in AI, software development, and infrastructure, supported by a prominent AI venture capital firm and Silicon Valley investors. Our product is actively utilized by leading technology companies in sectors such as fintech, ride-hailing, and autonomous vehicles.

About the Role

We are on the lookout for a Staff Software Engineer specializing in AI. In this role, you will spearhead the development of our SRE agent, focusing on its reasoning capabilities, learning processes, and integration. You will also work on the foundational runtime and technical architecture of our comprehensive product. Your contributions will be crucial in maintaining high engineering standards, crafting exceptional customer experiences, and advancing the agent's ability to tackle increasingly complex SRE challenges in a dynamic, non-deterministic environment where success is evaluated through outcomes rather than code inspection.

What You'll Do:

  • Design and implement frameworks for evaluating agent performance and reliability

  • Analyze agent behavior beyond mere code: trace reasoning, tool selections, and contextual factors to comprehend decision-making processes.

  • Develop autonomous agents capable of executing intricate, multi-step tasks

  • Create self-improving systems that adapt based on feedback and outcomes

  • Enhance agent observability to address routine issues related to tool usage and agent orchestration

You Bring:

  • Extensive experience in building and managing production systems, with a solid understanding of machine learning fundamentals, including recall, precision, and F1 scores, along with the knowledge that accuracy alone can be misleading.

  • Experience in building at least one agent from the ground up.

  • Regular use of coding agents and AI assistants for practical tasks, with insights into their strengths and weaknesses.

  • Strong foundational skills in software engineering, with informed perspectives on developing reliable, scalable, and secure software.

  • Experience operating high-scale distributed infrastructures, with an emphasis on performance and efficiency.

About Cleric

Cleric is at the forefront of revolutionizing how engineering teams operate, allowing them to focus on innovation and product development with the aid of AI technology. Our commitment to excellence and our experienced team make us a leader in the AI industry, with a proven track record of delivering scalable solutions to major companies.

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