Associate Software Engineer – Full Stack (AI First)

Precisely US Jobs

1d•Remote

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 contribute to building enterprise-grade, AI-first full stack applications that manage and deliver trusted, high-quality data across integrations, workflows, and analytics. You will work across frontend and backend layers, collaborating with cross-functional teams to deliver scalable, production-ready features. As part of an AI-first engineering organization, you will use AI tools as a core part of designing, building, testing, and operating software. You will be expected to apply AI to accelerate development, improve code quality, and strengthen problem-solving. 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
1–2 years of experience in software development
React/Angular/Java
Knowledge of JavaScript, HTML, CSS, and React/Angular frameworks
Familiarity of Java and object-oriented programming
Understanding Web application architecture and APIs
Test-driven development mindset with understanding of unit test patterns, mocking strategies, and test quality gates
Understanding of concurrent programming fundamentals, including thread-safety contracts, immutability, and shared state management
Strong problem-solving and communication skills
Hands-on experience using AI tools for coding, debugging, and productivity (Copilot, Claude, ChatGPT, etc.)
Ability to evaluate and validate AI-generated code for correctness and performance
Interest in applying AI to data platforms, APIs, frontend and backend workflows
Eagerness to adopt AI-assisted software engineering development practices and agentic workflows as part of daily work

Nice To Haves

Experience with Angular or React
REST APIs and microservices architectures
Exposure to cloud platforms (AWS, Azure) and distributed systems
Database knowledge (SQL/NoSQL)
Understanding of data platforms, MDM concepts, or data integration pipelines
Defensive programming practices (null safety, input validation, guard clauses, failure atomicity)
Basic knowledge of Python or AI/ML concepts
Familiarity with CI/CD pipelines and DevOps practices

Responsibilities

Develop full stack applications using Java (backend) and modern JavaScript frameworks (Angular/React)
Build responsive UI components and integrate them with backend services and APIs
Design and implement REST APIs and service integrations for MDM workflows
Contribute to data models and application architecture supporting MDM platforms
Deliver features end-to-end including development, testing, and deployment
Debug and troubleshoot defects across front-end and backend systems
Use AI tools (Copilot, ChatGPT, etc.) for coding, debugging, and productivity
Evaluate and validate AI-generated outputs for correctness and performance
Apply AI to accelerate development workflows, testing, and documentation
Write unit and integration tests to ensure code quality and reliability
Contribute to performance, scalability, and reliability improvements
Follow clean code practices and maintainable design principles
Participate in Agile ceremonies, sprint planning, and code reviews
Collaborate with Product, UX, QA, and Platform teams
Continuously learn and evaluate new technologies, especially in AI/agentic workflows, frontend and backend platforms