Promptql Logo

Promptql

AI Staff Software Engineer

Reposted One Month Ago
Remote or Hybrid
Hiring Remotely in San Francisco, CA, USA
250K-500K Annually
Senior level
Remote or Hybrid
Hiring Remotely in San Francisco, CA, USA
250K-500K Annually
Senior level
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.
The summary above was generated by AI
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.




HQ

Promptql San Francisco, California, USA Office

San Francisco, CA, United States

Similar Jobs

5 Days Ago
Remote or Hybrid
Mountain View, CA, USA
189K-290K Annually
Senior level
189K-290K Annually
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Lead architecture and development of GM’s in-vehicle AI assistant platform on Android Automotive OS. Build scalable APIs, SDKs, edge-cloud integrations, CI and automated validation infrastructure, and robust AIDL/IPC application contracts. Guide engineering execution, optimize latency and memory, integrate AI/ML evaluation pipelines, and collaborate with product and UX teams. The role requires extensive Android architecture experience, technical leadership, Kotlin and Java expertise, and familiarity with distributed client-server systems.
Top Skills: Ai/MlAidlAndroid Application ArchitectureAndroid Automotive OsAndroid JetpackAndroid SdkCiCoroutinesDaggerFlowGrpcHiltIpcJavaKotlinRest
7 Days Ago
Remote
US
193K-309K Annually
Expert/Leader
193K-309K Annually
Expert/Leader
Cloud • Fintech • Food • Information Technology • Software • Hospitality
Build and productionize agentic workflows, RAG pipelines, AI services, backend systems, and ML pipelines for sales automation. Integrate Salesforce, quoting engines, data lakes, and internal platforms using scalable, event-driven architectures. Lead 0-to-1 development of tools for account research, lead prioritization, and quoting while ensuring reliability, observability, performance, and resilience across the GTM technology stack.
Top Skills: Agentic AiAws LambdaAws SagemakerAws SqsGoJavaLlmsPythonRagSalesforce
14 Days Ago
Remote or Hybrid
7 Locations
264K-395K Annually
Expert/Leader
264K-395K Annually
Expert/Leader
eCommerce • Fintech • Hardware • Payments • Software • Financial Services
Own the architecture and technical strategy for Square’s go-to-market systems. Build and operate production AI agents, automated workflows, and integrations that improve sales productivity. Lead complex initiatives through architecture, implementation, testing, deployment, and operations while establishing AI evaluation, observability, security, reliability, and human-oversight practices. Partner with Sales, Product, Data, and Engineering leaders to translate business needs into scalable solutions, make build-versus-buy decisions, mentor engineers, and improve business impact through data and user feedback.
Top Skills: Ai AgentsCrm PlatformsGoLarge Language Models (Llms)RetrievalTool CallingWorkflow Orchestration

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account