• Build and maintain engine/editor plugins, runtime SDKs, and services that integrate AI • Ship performant, memory-aware C++ • Design stable API surfaces for game teams • Stand up CI/CD for game builds and tools • Automate QA for tooling and in-engine features • Implement production LLM integrations • Collaborate with studio engineering, tech art, design, and QA • Document patterns and deliver internal training • Influence standards and tech choices for AI

• Writing and reviewing great quality code • Integrate AI tools, including generative AI coding assistants, into Salesforce development workflows. • Use AI for Apex, Lightning Web Components (LWC), Aura, and integration code generation and optimization. • Implement AI-based code reviews, quality checks, and automated documentation generation. • Design, develop, and maintain Salesforce solutions using Apex, LWC, Aura Components, SOQL/SOSL, Salesforce Flows, and REST/SOAP APIs. • Utilize Salesforce DX and DevOps tools to streamline development, deployment, and CI/CD pipelines. • Work with AI-driven testing tools, prompt engineering, and ML model integration via APIs. • Apply NLP and predictive analytics concepts where applicable. • Manage source control using Git and implement CI/CD pipelines using Jenkins, Azure DevOps, GitHub Actions, or similar tools. • Use static code analysis tools to ensure code quality and adherence to standards. • Collaborate with development, QA, and release teams to embed AI-driven automation across the SDLC. • Provide guidance on best practices for AI integration in Salesforce development to ensure scalable and maintainable solutions.

• Writing and reviewing great quality code • Develop and customize Salesforce solutions with a strong focus on Service Cloud • Design, build, and maintain applications using Apex, Lightning Web Components (LWC), and SOQL • Implement and manage Einstein Bots and conversational interfaces for customer engagement • Design and optimize conversational flows and bot frameworks • Integrate Salesforce with external systems using REST/SOAP APIs • Work on Einstein Analytics and Einstein Discovery to deliver insights and intelligent features • Support and enhance contact center solutions and unified messaging capabilities (if applicable) • Collaborate with cross-functional teams to gather requirements and deliver scalable solutions • Participate in Agile/Scrum ceremonies, including sprint planning, stand-ups, and retrospectives • Ensure code quality, perform testing, and maintain documentation • Maintain solution documentation, technical designs, and deployment guides.

• Design and maintain automation frameworks using Java, Selenium, and Appium • Drive end-to-end test strategy and automation initiatives • Execute E2E, API, integration, and microservices testing • Integrate automation into CI/CD pipelines and improve test coverage • Collaborate with cross-functional teams and manage stakeholders • Provide data-driven release decisions and ensure system quality and scalability