🚀 Join a dynamic team led by industry veterans from top tech companies with a history of successful exits.
🔍 Be part of a mission-driven startup that is redefining the on-call engineering landscape with groundbreaking AI technology.
💡 Work in a fast-paced, high-energy environment where innovation and creativity are encouraged.
📈 Opportunity to grow with the company and significantly impact our direction and success.

Design, fine-tune, and optimize large language models (LLMs) specifically for on-call engineering and reliability use cases.
Continuously conduct greenfield research in the AI space, advise the founding team on the roadmap, and help strengthen the AI fluency of the the team overall.
Collaborate closely with product engineers to develop end-to-end AI-powered workflows that are reliable, responsible, and highly performant against measurable metrics.
Build and optimize robust data infrastructure to process high-volume structured and unstructured system data.

5+ years of experience with software engineering and at least one year specifically with modern LLMs (e.g., Claude, GPT-4, Llama 3) OR 3+ years working more generally in AI/ML.
Strong proficiency in Node.js, Python, Go, or Kotlin, and extensive experience building distributed systems and cloud infrastructure.
Proven data engineering expertise with large-scale data pipelines, embedding strategies, vector databases, and search technologies for AI applications.
Solid understanding of machine learning fundamentals, including transformers architecture, deep learning principles, and self-supervised learning approaches.
Bachelor's degree in Computer Science, AI, or related technical field; Master's or PhD preferred.

Base salary will be based on experience and in the range of $125k-$175k, combined with founding hire equity.