• Design and develop web services and UI pages using UML Modeling, MVC Architecture and Object-Oriented Programming • Gather system requirements and collaborate with the software developers/ technical team • Define multiple approaches to business problems and implement technical solutions • Verify stability, interoperability, portability, security, scalability of system architecture and ensure that the code is well aligned with the requirements • Test the code and ensure that the functionality of the developed component meets the requirements and conduct reviews • Participate in Agile meetings and translate application storyboard and use cases into functional applications and provide technical solutions • Identify bottlenecks and bugs, and devise solutions to mitigate issues • Implement automated testing platforms using Junits / Mockito for Springboot and Jasmine tests for ReactJs • Implement Database solutions with any combination of SQL Server, PostgreSQL, and MongoDB • Build and deploy code using Dev Ops tools GIT and Jenkins • Deploy code in PCF or AWS cloud in different environments • Design and development of applications using Java, Springboot, Hibernet, JPA, web-services, and REST • Design and develop of responsive and browser/OS compatible Web User Interfaces with any combination of HTML5, CSS3, DHTML, ReactJS, Angular and JavaScript • Write JUnit Test or JEST Unit Test cases • Utilize CI/CD using GIT Hub and Jenkins • Use SQL and any combination of relational Databases • Use of AWS, Azure or PCF technologies for deployment

• Supports our product, sales, and consulting teams with building and maintaining scalable, web-based applications. • Design, develop, and maintain full-stack web applications that support Generative AI projects. This includes both front-end and back-end development. • Work closely with AI researchers to integrate Generative AI models into applications, ensuring seamless functionality and optimal performance. • Monitor and optimize the performance of applications and AI integrations to ensure responsiveness and efficiency. • Coordinate with data scientists, engineers, AI researchers, and other developers to understand project requirements and deliver solutions that meet technical and business needs. • Identify and resolve issues related to application performance, AI model interactions, and data handling. • Apply best practices in coding, testing, and deployment to ensure high-quality software development and robust application performance. • Keep abreast of the latest developments in AI technologies, and software engineering practices.

• You will be the core driver in the conceptualization, design, development, and implementation of new, highly complex models and procedures • Provide strategic technical direction, mentor senior and principal team members • Build the next generation of our platform, which features core pillars like Adaptive Applications and Champion AI • Independently design, implement, and lead the development and testing of features, taking end-to-end ownership • Proactively debug, diagnose, and resolve the most complex technical issues and performance bottlenecks

• Translate Sales and Marketing hypotheses into executable GTM experiments. • Rapidly test new audiences, signals, messaging, and channels. • Measure impact on pipeline, conversion, and efficiency, and help operationalize successful approaches. • Partner with RevOps to leverage clean, trustworthy CRM and enrichment data. • Define and apply ICP attributes, buying signals, and prioritization logic relevant to Sales-led motions. • Utilize AI-assisted analysis to uncover insights that enhance targeting, timing, and relevance. • Apply LLMs to automate research, summarization, signal extraction, and personalization. • Reduce manual effort across Sales and Marketing by improving GTM execution. • Ensure AI-assisted execution is measurable, testable, and aligned with revenue goals. • Work closely with Marketing to operationalize campaign strategy and improve downstream conversion. • Collaborate with RevOps on data definitions, quality, and handoffs. • Support Sales teams by improving signal visibility, prioritization, and activation.