Data-Focused Full Stack Engineer

About Us

UJET leads the way in AI-powered contact center innovation, delivering a future-proof, cloud platform that redefines the customer experience with cutting-edge AI, true multimodality, and a mobile-first approach. We infuse AI across every aspect of your customer journey and contact center operations, to drive automation and efficiency. UJET's AI solutions empower agents, optimize customer journeys, and transform contact center operations for elevated experiences and actionable insights. Built on a cloud-native architecture with a unique CRM-first approach, UJET ensures unmatched security, scalability, and prioritized data insights (without storing PII). Designed for effortless use, UJET partners with businesses to deliver exceptional interactions, smarter decision-making, and accelerated growth in the AI-driven world.

Learn more at www.ujet.cx .

About the Team

You’ll join UJET’s Data and AI engineering organization, working at the intersection of full-stack product engineering, data systems, and AI-enabled customer experience. Our teams build and support the data platform, analytics foundations, AI integrations, virtual agent capabilities, agent assist experiences, and conversation intelligence systems that power UJET’s next generation of customer experience products.

This is a great role for an engineer who enjoys moving across the stack, learning quickly, and turning ambiguous product and data problems into reliable, production-ready systems.

The Opportunity

We’re looking for a Data-Focused Full Stack Engineer to help build software and data systems that make AI-powered customer experience products possible.

In this role, you’ll work across backend services, frontend product surfaces, data pipelines, analytics workflows, and AI system integrations. You’ll help transform customer interaction data into useful product experiences, operational insights, and automation capabilities. You should be comfortable writing production software, working with data, collaborating across teams, and learning new technologies as the problem demands.

This role is ideal for someone with strong Python and Javascript/Typescript experience, solid full-stack engineering instincts, and a demonstrated ability to take initiative in complex technical environments.

Location: This role is US-based. We have a preference for someone who lives in Maine, while remaining open to strong candidates elsewhere in the United States.

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

Annual US Hiring Range: $115,000 - $130,000

*A candidate’s actual placement within this range will depend on geographic location, work experience, education, and/or skill …