Staff Software Engineer (Applied AI)

About the role

The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.

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
• Own prompt engineering practices: design, iterate, and systematize prompts across use cases, balancing reliability, cost, and latency
• Build robust evaluation frameworks (offline and online) to measure model/agent quality, catch regressions, and guide iteration
• Partner closely with product, data science, and infra teams to translate ambiguous problems into scoped AI-powered solutions

What you need

• 8–14 years in software engineering
• LLMs
• Prompt engineering
• Prototyping
• B.Sc or B.Tech or B.E. or BCA

Good to have

• System design