Role overview

Data-Focused Full Stack Engineer

Requirements and responsibilities

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Responsibilities

  • Build and maintain full-stack product features that use data and AI to improve customer, agent, supervisor, and administrator experiences
  • Develop backend services, APIs, workflows, and integrations that connect product systems with data and AI capabilities
  • Work with customer interaction data, conversation data, analytics models, and operational datasets to support AI-powered features
  • Partner with AI, Data Platform, Product, QA, and other engineering teams to design and deliver reliable customer-facing systems
  • Contribute to data pipelines, data models, and internal tools that make product and operational data easier to use
  • Build user-facing experiences and internal interfaces using modern JavaScript/TypeScript when needed
  • Write maintainable, well-tested code and participate in design reviews, code reviews, debugging, and production support
  • Take ownership of ambiguous problems, break them down clearly, and drive them through delivery
  • Learn new parts of the stack as needed and help raise the engineering quality bar for the team

Requirements

  • At least 3 years of professional software engineering experience
  • Strong production experience with Python
  • Experience building full-stack applications, backend services, APIs, or data-driven product features
  • Working knowledge of JavaScript and/or TypeScript
  • Experience working with data systems, data pipelines, analytics workflows, or data-intensive applications
  • Interest in or experience with building systems that support AI, machine learning, LLMs, virtual agents, agent assist, conversation intelligence, or automation
  • Strong software engineering fundamentals, including testing, version control, code review, debugging, and maintainable system design
  • Ability to work across multiple layers of a technical stack and learn unfamiliar technologies quickly
  • Evidence of self-motivated work, strong ownership, and the ability to make progress in ambiguous situations
  • Clear written and verbal communication skills, especially in a distributed engineering environment
  • Experience with cloud platforms

Preferred Qualifications

  • Experience with Google Cloud Platform
  • Experience with event-driven systems, workflow engines, queues, or distributed systems
  • Experience with contact center, CRM, customer support, messaging, or telephony systems
  • Experience with Ruby or Ruby on Rails

Why UJET?

  • Impactful Work: Be at the forefront of innovation, directly shaping the future of customer experience.
  • Dynamic Culture: Join a collaborative, inclusive team that values big ideas, creative solutions, and powerful relationships.
  • Comprehensive Benefits: Medical, dental, vision, 401(k) plan, wellness benefits, and more.
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Browse stack
FocusFull Stack EngineeringRole area
Seniority signalMiddleCandidate level
StackJavaScript, Python, TypeScriptPrimary skills
Location1 accepted countryEligibility

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