Loop AI - Delivery Intelligence Platform Logo

Loop AI - Delivery Intelligence Platform

Staff AI Product Engineer

Reposted 13 Days Ago
Be an Early Applicant
In-Office
San Francisco, CA, USA
200K-300K Annually
Senior level
In-Office
San Francisco, CA, USA
200K-300K Annually
Senior level
Lead full-stack development and architecture across frontend, backend, and AI systems. Build scalable services, integrate models and data pipelines, collaborate with product/design, mentor engineers, and deliver high-impact features from design through production.
The summary above was generated by AI
About Loop: At Loop, we’re revolutionizing restaurant operations with AI-powered automation. Our technology helps restaurants streamline their workflows, reduce costs, and enhance customer experiences—all through intelligent automation. We’re a fast-moving, early-stage startup on a rapid growth trajectory, and we need a technical leader to build and scale our engineering team from the ground up.
 
Role Overview:
As a Staff Product Engineer, you will own a broad technical scope spanning frontend, backend, and AI systems. You’ll design, build, and scale features across the full product stack — from user-facing UI to robust backend services and AI-driven components. You’ll work directly with product, design, data, and leadership to deliver high-impact solutions that push our platform forward.
 
This position is ideal for engineers who love building across the stack, enjoy solving complex problems, and want to deeply influence both product direction and technical architecture.
 

Key Responsibilities:

  • Full-Stack Development: Lead design and implementation of scalable frontend architecture using modern web technologies. Translate UI/UX designs into responsive, accessible, and performant applications. Build and maintain backend systems and APIs to power core product functionality. Ensure smooth integration between frontend interfaces and backend services.
  • Architecture & Best Practices: Contribute to high-level architecture decisions across the stack.Create scalable, maintainable systems with high code quality. Apply critical thinking to propose innovative solutions and continuously improve technical processes.
  • Cross-Functional Collaboration: Partner with product managers, designers, and engineers to define and prioritize roadmap features. Participate in customer-focused discussions to understand pain points and translate them into technical solutions. Mentor and guide team members, championing best practices and high engineering standards.
  • AI Systems: Collaborate on AI-driven features, integrating models or intelligent workflows into platform components.Help design systems that support data pipelines, model inference, and AI feedback loops.

Qualifications:

  • 6+ years professional experience building production-grade software.
  • Solid backend experience — building services, APIs, and database integrations with Python, Django, or comparable stacks.
  • Demonstrated ability to work across frontend and backend contexts with clean, maintainable code.
  • Experience with version control, deployment pipelines, and performance optimization.
  • A proactive mindset and ability to work independently in a fast-paced startup environment.
  •  

Nice to Have:

  • Experience building or working with AI agentic workflows, including orchestration, tool usage, and multi-step reasoning systems.
  • Strong frontend expertise in React.js, including performance optimization and scalable component architecture.
  • Ability to think beyond pure engineering — strong business and product acumen.
  • Demonstrated curiosity and interest in working backwards from the customer, identifying real pain points, and translating them into technical solutions.
  • Passion for building end-to-end features that create measurable product impact.
  •  

Why Join Us?

  • Impact: Drive major product areas from inception to production.
  • Growth: Learn and contribute to both frontend, backend, and AI systems.
  • Ownership: Shape architecture and influence product strategy.
  • Team: Work with passionate engineers and product thinkers solving real problems.

HQ

Loop AI - Delivery Intelligence Platform San Francisco, California, USA Office

San Francisco, California, United States, 94104

Similar Jobs

14 Hours Ago
Remote or Hybrid
United States
250K-300K Annually
Senior level
250K-300K Annually
Senior level
Cloud • Digital Media • Enterprise Web • Marketing Tech • Software
Develop AI-powered features, collaborate with teams, integrate LLMs, ensure production quality, mentor engineers, and stay updated on AI trends.
Top Skills: ElasticsearchJavaScriptMySQLPostgresdbPythonTypescript
15 Days Ago
In-Office
191K-254K Annually
Expert/Leader
191K-254K Annually
Expert/Leader
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
As a Staff Software Engineer at Databricks, you'll lead development of AI-driven products, creating user-centric designs in a startup environment. You'll collaborate with cross-functional teams to build scalable solutions and establish best practices for impactful AI applications.
Top Skills: AngularC#C++CSSEmberGoHTMLJavaJavaScriptNode.jsPythonReactScalaVuejs
4 Hours Ago
Hybrid
Entry level
Entry level
Fintech • Financial Services
Supports daily branch operations including administrative coordination, ensuring policy compliance, cash/logistics support, assisting with reporting, scheduling, and liaising between customers and internal teams.

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