The Role
As a Staff AI Software Engineer at PromptQL, you'll lead the development of AI systems, design architecture, and optimize performance while shaping the direction of AI technology in enterprises.
Summary Generated by Built In
About the team
PromptQL Product and Engineering team is working on the cutting edge of AI. We are obsessed with enhancing AI’s accuracy and reliability in enterprise environments. We are a small team with a huge impact. Anyone who joins this team is joining the core group of people shaping the direction of PromptQL and therefore the future of how AI interacts with data and infrastructure layers in enterprises across virtually every industry.
About the Role
Location: Open to anywhere in the US, San Francisco preferred
PromptQL is hiring a Staff AI Software Engineer to help us build the technical backbone of our AI systems and product, PromptQL. This role exists because we are operating at the frontier of what's possible with conversation AI and we need someone who can think and build at that frontier with us. Our team has built impressive momentum with a small group of highly capable engineers and researchers. Now, we’re looking for someone who can bring deep technical leadership, broaden our capabilities, and help us scale our systems to provide accurate and reliable AI to Fortune1000 enterprises.
This is not a narrow role. 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.
This is a rare opportunity to join a deeply ambitious and experienced team working on some of the most impactful technology of our time. If you're an A+ engineer who thrives in ambiguity, loves working across boundaries, and wants your work to directly shape how AI gets used in the real world—this role is for you.
Role 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.
This Role Might Not Be a Good Fit for You If...
- You need a lot of structure, processes, or clearly defined roadmaps to succeed
- You aren’t comfortable operating in ambiguity or changing priorities
- You’ve never worked with AI/ML systems and don’t plan to upskill quickly
- You aren’t confident writing production-grade Python or working in cloud-native environments
- You prefer to work strictly within your lane and don't enjoy cross-functional collaboration
- You aren’t excited about the pace and reality of building at an early-stage, high-velocity startup
- You view engineering as separate from product and user experience
- You’re not passionate about the transformative potential of AI or aren’t curious about its technical and societal implications
Compensation
- Salary $250,000 - $500,000
- Plus annual bonus
- Large equity package
About PromptQL
At PromptQL, we’re not just building AI platforms, we’re redefining how the world’s largest and most complex enterprises deliver AI transformation on their existing data and systems.
PromptQL captures and codifies a business’s unique know-how into a language that frontier models can reason with. We are laying the foundation for agents that drive decision-making and automation with human-level reliability.
We’re a team of engineers, builders, and leaders, driven by a shared belief: AI should speak the language of your business. Backed by top-tier investors and trusted by industry leaders, we’re moving fast to make AI-powered enterprises a reality.
Benefits & Perks
- Medical, dental, and vision insurance to keep you healthy and thriving
- Employee assistance programs for support when you need it
- Retirement fund contribution matching to help you invest in your future
- Donation matching to amplify your charitable impact
- Paid time off to support your well-being
- Monthly company-wide self-care day to recharge
- Stock options so you can share in our success
- Paid parental leave to support growing families
- Commuter benefits to help you save on your journey to the office
- Employee referral program to reward you for connecting us with great talent
We are committed to equal employment opportunity and do not discriminate based on race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or any other status protected by law.
Applicants with disabilities who wish to request reasonable accommodations may contact us at [email protected].
While our official company name is Hasura, we do business as PromptQL.
Top Skills
AI
Cloud-Native Environments
Llms
Ml
Python
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The Company
What We Do
PromptQL is an enterprise AI company building a platform that helps organizations use natural language to analyze data, understand operations, and automate work with greater accuracy and trust. Founded by the team behind Hasura, the company focuses on making AI useful in real business environments where data is fragmented across systems and context matters. PromptQL connects AI to business logic, metrics, workflows, and internal knowledge so teams can ask better questions, get grounded answers, and take action more effectively. Its platform is designed for companies that want more than a generic assistant and need AI that can work reliably across complex enterprise systems.
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