• Design and develop platforms and tools for creating, orchestrating, and operating enterprise AI agents. • Implement RAG architectures, data pipelines, connectors, and MCPs (Model Context Protocol). • Build and maintain scalable backend services, APIs, and integration systems for enterprise environments. • Create infrastructure that enables autonomous workflows and agents that are reliable, traceable, and auditable. • Work with LLMs at a high level (prompt engineering, agents, tool integrations, orchestration frameworks). • Serve as the technical reference for the team, influencing architectural decisions and promoting best practices.

• Own the technical execution of our IAM vision. You will be the lead designer and builder for new, scalable access control solutions that will be used by all of Sprout's Product teams. • Architect and build our next-generation, multi-tenant authorization control plane, designed to manage access across a variety of products, types of principals, and jobs-to-be-done. • Scale our authorization data plane to scale to billions of requests daily while remaining intuitive and approachable to engineers across the organization. • Be the engineer accountable for service-level outcomes. You will write the code and set the standards that ensure our core access services are highly available, low-latency, and secure. • Design and ship the platform-level IAM patterns, libraries, and tools that will multiply the effectiveness of our entire R&D organization.

• Develop, test, and maintain scalable Python applications. • Collaborate with product managers, designers, and other engineers to deliver high-quality software. • Write clean, efficient, and reusable code following best practices. • Participate in code reviews to ensure code quality and share knowledge with the team. • Troubleshoot and debug issues in a timely manner. • Contribute to the design and architecture of new features and systems. • Have a sense of ownership and craftsmanship around the code base and your work. • Enjoy helping other developers grow and learn new technologies. • Display a strong track record of mentorship with engineers at various levels. • Are mindful of application security and performance. • Take pride in learning, and want opportunities to learn throughout your day-to-day. • Possess a pragmatic mindset. • Familiarity with Generative AI tools such as ChatGPT for research, data insights, and general productivity is a plus.

• Designing, coding, testing, and debugging software according to specifications and requirements. • Transforming the system design into actual software by writing code and implementing features. • Collaborating with stakeholders and product managers. • Conducting unit tests, integration tests, and system tests. • Participating in scrum team activities.