Jobs in Bengaluru, India

About the role

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. 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. 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 bring

• BS Degree in Computer Science or related technical discipline or related practical experience.
• 8+ years of software engineering experience, with 2+ years hands-on building applied AI/LLM-based systems in production
• LLM
• Experience with fine-tuning or custom model training
• Familiarity with LLM observability/tracing tools.
• Experience in a high-scale consumer or enterprise product environment
• Demonstrated experience designing and shipping agentic workflows (multi-step tool-calling, planning, orchestration frameworks like LangGraph, custom agent loops, etc.)
• Strong grasp of RAG system design — retrieval quality, embedding strategies, vector DBs, hybrid search
• Deep experience with prompt engineering methodologies and prompt/version management at scale
• Proven track record building evaluation systems for LLM outputs (automated evals, human-in-the-loop review, regression suites, LLM-as-judge techniques)
• Solid fundamentals in distributed systems, APIs, and production-grade software engineering
• Distributed Systems