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Data-Focused Full Stack Engineer

ujet.cx · Remote, US

Location
Remote, US
Workplace
Remote
Level
Mid level
Posted
2 months ago

About this role

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 level.

Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time.

#LI-Remote

#LI-Hybrid

UJET is an Equal Opportunity Employer

UJET provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Compliance Responsibilities

Security, data protection and compliance (SDPC) are paramount to the success of our partnerships. All roles at UJET require compliance with legal and regulatory requirements and acceptance and adherence to all policies and standards within UJET. Personnel acknowledges they are personally responsible for reporting any suspected violations or abuse and are required to complete SDPC training and fulfill role-specific SDPC responsibilities.

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.

As published by ujet.cx. Applications are handled on their site.

Skills this posting mentions

Cloud ServicesArtificial IntelligenceAnalytics

About ujet.cx

UJET is the Experience Center: a cloud-native platform that replaces the fragmented contact center stack. Enterprises run customer service across 4 to 10 disconnected tools and agents pay for it by swiveling between them all day. We unify the interaction, the data, and the intelligence in one place, so fast, personalized service is the default. Our philosophy is simple: AI for the grind, humans for the gold. AI-Powered Contact Center. One agent workspace unifying voice, video, chat, SMS, email, and social. Smart routing based on customer data, agent skills, and interaction history. Mobile-native support: in-app voice and video, screen sharing, media exchange, biometric authentication. CRM-first by design. Native connectors to Salesforce, Zendesk, Microsoft Dynamics, and custom CRMs, with real-time sync. Interactions write to your system of record and we store no customer PII on our platform. A unified agent desktop with full context, suggested responses, and click-to-execute workflows. Real-time supervisor tools: live monitoring, whisper coaching, barge-in, and AI quality management. Spiral by UJET, conversational analytics built in. Spiral analyzes 100% of your calls, chats, and emails, not the 3 to 5 percent sample that is standard elsewhere. It auto-generates conversation categories without months of consultant-led taxonomy work, and surfaces root causes, sentiment trends, and emerging issues as they happen. Reliable by architecture. A 3x-active design with multi-region failover and multi-carrier voice. Always-on is structural, not a line in an SLA. Coming next: AXO (Agentic Experience Orchestration). A persistent AI layer that runs underneath every interaction, connecting enterprise data and systems so agents never manage the chaos. More soon. G2 ranks UJET #1, and enterprises with premium brands to protect run on it. Want a better customer experience? Start here ⬇️

All 9 openings at ujet.cx

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