PromptQL is a company focused on enhancing AI’s accuracy and reliability in enterprise environments. They are seeking a Staff AI Software Engineer to build the technical backbone of their AI systems and product, contributing to the development of features and infrastructure for AI applications.
Responsibilities:
- You’ll be writing production code, designing architecture, optimizing performance, shaping infrastructure, and contributing to safety mechanisms
- Build our core stack, rapidly design and implement features across the PromptQL AI assistant, the PromptQL data engine, and the PromptQL runtime infrastructure
Requirements:
- You have 6+ years of experience as a software engineer, with at least 1+ years building AI or ML-powered systems
- You've designed and shipped complex distributed systems at scale, and you know how to optimize for performance, cost, and reliability
- You've worked directly with large language models (LLMs) in production
- You're fluent in Python and/or a systems language, and you can move comfortably between infrastructure, APIs, and core product logic
- You're comfortable leading technically: writing high-leverage design docs, setting engineering direction, and mentoring other senior engineers
- You're biased toward action and can operate with high autonomy. You know how to unblock yourself and others
- You care about quality, safety, and performance. And you bring a systems-level perspective to how engineering decisions impact the product and user
- You're excited about our mission and energized by building foundational technology for the next generation of AI applications