Discover how LinkedIn is operationalizing AI tools at scale to drive measurable productivity gains across its engineering organization.
This session explores how LinkedIn is building AI agents that collaborate with each other and humans to assist with core software development tasks such as writing code and refactoring, and how we leverage standardized developer environments to make agent execution safe, observable, and scalable across teams. Central to this effort is the use of the Model Context Protocol (MCP) to unify access across diverse models and tools, enabling consistent context injection, reliable agent behavior, and seamless interoperability across internal and external systems.
The talk also covers LinkedIn’s hybrid model strategy—balancing internally hosted, fine-tuned open source models for sensitive workloads with externally hosted commercial foundation models for broader reasoning tasks—alongside robust model governance and lifecycle management practices.
The talk will discuss real-world challenges around context engineering techniques that structure enterprise data for meaningful AI reasoning, and strategies for addressing authentication and authorization when agents act on behalf of employees in secure environments.
Gain insights into the architectural and infrastructural foundations that turn generative AI from promise to productivity.
Speaker
Karthik Ramgopal
Distinguished Engineer & Tech Lead of the Product Engineering Team @LinkedIn, 15+ Years of Experience in Full-Stack Software Development
Distinguished Engineer and the Uber technical lead for the Product Engineering team at LinkedIn, leading ~5000 engineers responsible for developing and operating all of LinkedIn’s member and customer-facing products. 15+ years of experience in full-stack software development, design, and architecture, across product and infrastructure engineering teams. Role entails strategically shaping LinkedIn's technical vision across a wide range of domains with hands-on contributions to code and design on specific projects, with a primary focus on Generative AI applications (products and internal productivity use cases) in the recent past.
Find Karthik Ramgopal at:
Speaker
Prince Valluri
Principal Engineer & Tech Lead for Boosting Developer Productivity with AI @LinkedIn
Principal Engineer, specializing in Developer Productivity for 10+ years. Tech Lead for boosting productivity for 10,000+ LinkedIn engineers with AI. Focussed on building and scaling internal platforms for all engineers to move faster and more efficiently.
