About The Position

Precisely is the leader in data integrity. We empower businesses to make more confident decisions based on trusted data through a unique combination of software, data enrichment products and strategic services. Precisely is an AI-first organization. All employees are expected to demonstrate proficiency in applying AI tools to accelerate their work, improve output quality, and eliminate low-value tasks. Candidates should be comfortable using generative AI tools (e.g., Microsoft Copilot, ChatGPT) in their day-to-day workflows, able to evaluate AI-generated outputs critically, and open to continuously adopting new AI capabilities as they emerge. We are seeking an enthusiastic and motivated Associate Software Engineer to join our Master Data Management (MDM) product line within Precisely’s Data Integrity Suite. In this role, you will build modern, enterprise-grade, AI‑first user interfaces that enable customers to manage and interact with trusted, high-quality data across workflows, integrations, and analytics. You will work closely with backend engineers, product managers, UX designers, and platform teams to deliver intuitive, scalable, and high-performance frontend experiences. As part of an AI‑first engineering organization, you will use AI tools as a core part of designing, building, testing, and optimizing frontend applications. You will be expected to apply AI to accelerate development, improve code quality, and enhance problem-solving while maintaining strong engineering judgment. You will work closely with engineers, architects, and product teams to deliver scalable, reliable, production-ready capabilities that address real customer needs.

Requirements

  • Bachelor’s degree in computer science or related field (Equivalent work experience will be accepted in place of the education requirement)
  • 1–2 years of experience in software development
  • React/Angular
  • Strong knowledge of JavaScript, HTML, and CSS
  • Familiarity with modern frontend frameworks (Angular or React)
  • Understanding of web application architecture and REST APIs
  • Basic understanding of state management, component architecture, and UI design patterns
  • Knowledge of responsive design, browser compatibility, and performance optimization
  • Strong problem-solving and communication skills
  • Test-driven development mindset with understanding of unit test patterns, mocking strategies, and test quality gates
  • Hands-on experience using AI tools for UI development, debugging, and productivity (Copilot, Claude, ChatGPT, etc.)
  • Ability to evaluate and validate AI-generated frontend code for correctness and performance
  • Interest in AI-driven UI development workflows and design-to-code tools
  • Eagerness to adopt AI-assisted software engineering development practices and agentic workflows as part of daily work

Nice To Haves

  • Experience with Angular and React
  • Familiarity with UI testing frameworks (Jest, Cypress, Playwright, etc.)
  • Exposure to design systems and component libraries
  • Basic backend/API integration knowledge
  • Understanding of data-driven UI patterns and enterprise applications
  • Awareness of MDM concepts, data platforms, or data integration workflows
  • Familiarity with CI/CD pipelines and DevOps practices
  • Basic knowledge of accessibility standards (WCAG)

Responsibilities

  • Build responsive, scalable, and reusable UI components using modern frameworks (Angular/React)
  • Translate UX designs and product requirements into high-quality, production-ready interfaces
  • Integrate frontend components with backend APIs and services supporting MDM workflows
  • Ensure performance, accessibility, and responsiveness across web applications
  • Use AI tools (Copilot, ChatGPT, Cursor, etc.) to accelerate UI development, debugging, and testing
  • Evaluate and validate AI-generated UI code for correctness, maintainability, and security
  • Write unit and integration tests to ensure frontend quality and reliability
  • Debug UI issues, performance bottlenecks, and cross-browser compatibility problems
  • Contribute to frontend architecture, coding standards, and best practices
  • Collaborate with UX, Product, Backend, QA, and Platform teams
  • Participate in Agile ceremonies, sprint planning, and code reviews
  • Continuously learn and adopt new frontend technologies and AI-assisted workflows
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