• Lead technical discovery sessions with enterprise customers to understand business objectives, deployment requirements, and success criteria. • Scope and execute proof-of-concepts, pilot programs, and production deployment initiatives. • Conduct load testing and evaluations to validate model architectures and deployment configurations. • Design and implement end-to-end AI solutions within complex enterprise environments. • Build production-grade AI and machine learning systems that meet enterprise performance, security, and compliance requirements. • Conduct model evaluations, benchmarking, and performance testing. • Advise customers on model selection strategies and deployment architectures. • Support fine-tuning methodologies, including Supervised Fine-Tuning (SFT), Direct Preference Optimization (DPO), and Reinforcement Fine-Tuning (RFT). • Develop evaluation frameworks to measure model quality and business impact. • Design scalable inference architectures that support enterprise workloads. • Work with GPU infrastructure, containerized applications, Kubernetes, and cloud platforms. • Collaborate with customer engineering teams to optimize system reliability, latency, scalability, and performance. • Address infrastructure, security, and compliance challenges to ensure successful production deployments. • Present technical recommendations to engineering teams and executive leadership. • Build trusted relationships with customer stakeholders, identify champions, address objections, and drive successful deployments. • Identify recurring customer pain points and provide actionable feedback to internal product and engineering teams. • Influence product roadmap decisions through customer insights and field experience.

• Design, develop, and maintain scalable full-stack applications using Node.js and React.js. • Build and integrate REST APIs and cloud-based solutions. • Work with AWS services, including exposure to AWS Bedrock. • Integrate Generative AI capabilities into applications and contribute to AI-powered features. • Collaborate with cross-functional teams to deliver high-quality software solutions.

• Drive the architecture, design, and engineering solutioning of scalable AI-powered enterprise platforms across EXL’s strategic engagements. • Anchor the technology vision across Data, CX, AI, and Automation layers, supporting both sales pursuits and client delivery. • Lead Deep Tech capability, partner ecosystem and client pursuits.

Role Description 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. What you will do: - 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 Qualifications - Bachelor’s degree in computer science or related field - 1–2 years of experience in software development - Specific technical or software skills required: React/Angular/Java - Knowledge of JavaScript, HTML, CSS, and React/Angular frameworks - Familiarity with Java and object-oriented programming - Understanding of 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 AI Skills/Knowledge - 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 Preferred Skills (a plus but not required) - 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 Company Description 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 powers better decisions for more than 12,000 global organizations, including 95 of the Fortune 100. Our 2500 employees are unified by four company core values: Openness, Determination, Individuality, and Collaboration. We are committed to career development for our employees and offer opportunities for growth, learning, and building community. With a "work from anywhere" culture, we celebrate diversity in a distributed environment with a presence in 30 countries and 20 offices across over 5 continents. 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.