Senior Full-Stack Engineer

Posted Yesterday
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Tel Aviv, ISR
Hybrid
Senior level
Artificial Intelligence • Software • Automation
The Role
Build and operate end-to-end product capabilities across React frontends and Node.js backends. Design APIs, data models, security, performance, and observability solutions; partner with Product and Design; ship AI-enabled or agentic features; and improve engineering quality through reviews, pairing, documentation, and mentorship.
Summary Generated by Built In
Description

About Factify

We are building the Governed Truth Infrastructure that makes agentic AI safe for highly regulated industries like banking and insurance. Powered by our proprietary "Seal, Enforce, Prove" architecture and backed by a growing patent portfolio, our platform is already live in production with enterprise partners driving real ARR.

We designed this infrastructure specifically for the builders on the front lines: developers, AI strategists, and Forward-Deployed Engineers (FDEs). With FDEs now the fastest-growing role in tech - up over 700% year-over-year - these teams need a secure, reliable foundation to govern AI agents performing high-stakes work. That’s exactly what we provide: a platform they can trust.

We're well-funded ($73M raised), the team is strong, and there's real momentum in the market. This isn't a bet on "maybe it'll happen" - it's already happening.

The role

We are looking for a Senior Full-Stack Engineer to build reliable, high-impact product experiences from browser to backend. You will own meaningful product areas, turn ambiguous customer problems into pragmatic technical solutions, and help set a high bar for quality, speed, and engineering judgment.

What you’ll do

  • Design, build, test, deploy, and operate end-to-end product capabilities.
  • Build polished frontend experiences with React and TypeScript.
  • Develop scalable backend services and APIs with Node.js and TypeScript.
  • Partner closely with Product and Design to shape solutions before implementation.
  • Make sound architecture decisions across application boundaries, APIs, data models, security, performance, and observability.
  • Use AI-assisted engineering tools thoughtfully to improve development speed and quality, while rigorously validating their output.
  • Build AI-enabled or agentic product capabilities where they create clear customer value.
  • Raise the engineering bar through code reviews, pairing, documentation, and mentorship.
Requirements
  • 7+ years of professional software engineering experience, or equivalent experience delivering senior-level work, including substantial full-stack ownership.
  • Strong production experience with React and TypeScript across frontend and backend development.
  • Strong experience with Node.js or another production backend stack, including API design and operation.
  • Deep understanding of web architecture, testing, security, performance, and production operations.
  • A record of independently delivering customer-facing products, communicating tradeoffs clearly, and following work through production.
  • Hands-on experience shipping AI-enabled or agentic capabilities to production with a framework such as LangGraph, CrewAI, or an equivalent, including disciplined validation of outputs.

Nice to have

  • Experience with Go.
  • Experience designing microservices, event-driven systems, or cloud-native applications.
  • Experience with LLM integrations, retrieval, evaluation, or AI workflow observability.
  • Experience with Docker, Kubernetes, CI/CD, and modern observability tooling.

Skills Required

  • 7+ years of professional software engineering experience, or equivalent senior-level experience with substantial full-stack ownership
  • Strong production experience with React and TypeScript across frontend and backend development
  • Strong experience with Node.js or another production backend stack, including API design and operation
  • Deep understanding of web architecture, testing, security, performance, and production operations
  • Experience independently delivering customer-facing products and following work through production
  • Hands-on experience shipping AI-enabled or agentic capabilities to production using LangGraph, CrewAI, or an equivalent framework
  • Experience with Go
  • Experience designing microservices, event-driven systems, or cloud-native applications
  • Experience with LLM integrations, retrieval, evaluation, or AI workflow observability
  • Experience with Docker, Kubernetes, CI/CD, and modern observability tooling
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The Company
42 Employees
Year Founded: 2023

What We Do

Factify is building a new intelligent document standard—“Document-as-Infrastructure”—to replace static PDFs with governed, auditable records that can be trusted by people and AI agents. Its documents carry identity, access rules, version history, intelligence, and permanent audit logs, while enforcing governance. The company initially targets regulated, document-heavy sectors such as banking, insurance, legal services, human resources, and operations through controlled workflows.

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