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Customer Facing Full Stack Engineer

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Adapt
Full Time position
Listed on 2026-01-17
Job specializations:
  • Software Development
    AI Engineer, Cloud Engineer - Software
Job Description & How to Apply Below

Adapt is the AI computer for business. Our mission is to help every company become instantly AI native through providing the most powerful and accessible experience for every job function to collaborate with frontier agents. Everyone in the company - from sales to marketing to business operations - can use Adapt to answer questions, build on-demand dashboards, automate workflows, or build entire applications using the context of their business and the best intelligence available.

About

the role

As Adapt’s Customer Facing Full Stack Engineer, you’ll work directly with customers and design and build the core systems that power AI-driven business analytics. You’ll work across the stack—front-end, back-end, and data pipelines—to deliver secure, reliable, and scalable applications that give leaders and analysts fast, intuitive access to insights.

What you'll do
  • Develop an agent runtime for orchestrating multi-agent pipelines for data integration and analysis.
  • Implement server-side logic and APIs with Node to power core product features.
  • Build secure and scalable container sandboxes for code execution.
  • Implement context management systems built on object storage and vector databases such as pgvector.
  • Build interactive and rich frontend interfaces using Tailwind and Next.js.
  • Work closely with product, design, and AI researchers to prototype and launch new features.
Qualifications
  • Experience building large scale systems and platforms
  • Experience working with containers, container runtimes, and virtualization. Comfortable working with container orchestration systems such as Kubernetes.
  • Strong Typescript/Node background and a language-agnostic approach to problem solving.
Nice-to-Haves
  • Exposure to AI/ML APIs or product ionizing ML systems.
  • Familiarity model and agent evaluations.
  • Knowledge of security best-practices for containerized execution of untrusted code.
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