Staff Software Engineer (Applied AI)

LinkedIn Learning Solutions Engineering India is a ground-up, AI-first org building scalable systems and consumer-grade experiences that connect skills, learning, career growth, and internal mobility across LinkedIn Learning and the enterprise Career Hub. Engineers own end-to-end delivery across web, mobile, backend, data, and AI - designing architectures for skills intelligence, skill-gap detection, personalized recommendations, workforce transformation, and internal mobility—while shaping engineering standards, culture, and hiring in a greenfield environment with LinkedIn’s scale. LinkedIn Learning is entering a significant new phase of growth and innovation. What started as a learning platform has evolved into a much broader vision: helping organizations understand, develop, and transform workforce capabilities at scale. Our new Learning Solutions Engineering charter is going to be built ground-up from India exclusively and is building AI-powered experiences that connect skills, learning, career growth, and internal mobility.

The Learning Solutions Engineering team is being built to drive this next chapter. This is a rare opportunity to join a business that already serves millions of professionals globally while helping shape the future of AI-powered workforce transformation.

About the Role:

We're looking for a Staff Engineer to lead the design and delivery of AI-native systems that solve real product and business problems. You'll set technical direction for how we apply LLMs and agentic systems at scale , from prototyping to production-grade, evaluated, and observable systems. What You'll Do

Design and build agentic workflows that orchestrate multi-step reasoning, tool use, and decision-making across complex tasks

Architect and scale Retrieval-Augmented Generation (RAG) pipelines — including chunking, embedding, indexing, and retrieval strategy — for accuracy and latency at production scale