• Define front-end architecture and technical strategy, designing scalable platforms and leading complex UI systems development (e.g., React, Angular, Next.js) • Build polished, demo-ready front-end experiences that communicate the value of AI systems to clients and stakeholders • Define front-end standards and best practices, and contribute to shared design systems • Lead back-end development and API architecture in Python and Node.js, integrating complex systems and third-party platforms • Design and implement channel integrations across chat, voice, and web surfaces, including real-time messaging, webhook pipelines, and event-driven patterns • Design efficient database schemas and optimize performance across relational and NoSQL systems • Drive backend performance, scalability, and reliability, and own implementation of security best practices including authentication and authorization • Lead monitoring, observability, and reliability practices across production systems • Lead the design and integration of AI services into production full-stack systems, including LLM APIs, streaming, tool and function calling, multi-step agent flows, and RAG patterns • Bring an AI-forward mindset to your daily work, using tools like Claude, Cursor, and other modern AI assistants to ship higher-quality work at pace

• Design, develop, test, and deploy scalable, secure, and highly interactive web applications • Own and evolve core platform modules, from concept through release and support • Influence application and system architecture with a focus on performance, reliability, security, and maintainability • Lead by example through clean, well-tested code, thoughtful design reviews, and pragmatic technical decisions • Collaborate closely with Product Management, QA, and other engineers throughout the SDLC • Provide technical mentorship and guidance to other engineers on the team • Diagnose and resolve complex production issues across distributed systems • Ensure solutions meet eClinical Solutions quality standards and applicable industry regulations • Contribute to technical documentation including design specs, acceptance criteria, and release notes.

• Design and implement secure, scalable features for the Paxos Dashboard, focusing on user authentication, RBAC, and governance flows • Build and maintain API services that power critical dashboard functionality using languages like Golang, Java, Python, or Kotlin • Collaborate with cross-functional teams to deliver seamless integration between front-end interfaces and backend services • Create and maintain shared libraries and components that ensure consistency across Paxos services • Implement robust monitoring and observability solutions using tools like Datadog • Drive technical decisions and architectural improvements that enhance platform reliability and security • Participate in code reviews and mentor junior team members

• Design and implement Python-first APIs, SDK workflows, and plugin interfaces for building, measuring, and improving agents across multiple runtimes and product surfaces • Build reusable systems for observing behavior, measuring progress, detecting regressions, and turning runtime evidence into product decisions • Build systems for ingesting, normalizing, validating, and analyzing agent execution data and evaluation datasets • Partner with research, product, platform, and infrastructure teams to integrate agentic capabilities broadly across NVIDIA agent runtimes and developer workflows • Help turn emerging agent development and improvement techniques into reliable, reusable product capabilities • Improve reliability, observability, debuggability, and performance across NeMoStack services, SDKs, plugins, jobs, and developer workflows • Build strong test coverage across unit, integration, E2E, Docker, and Kubernetes workflows • Drive “speed of light” engineering: fast iteration, high ownership, pragmatic decisions, and performance-minded implementation under production constraints • Provide senior technical leadership through design reviews, code reviews, mentoring, and ownership of ambiguous cross-component problems.