Staff Software Engineer (Applied AI)
LinkedIn · Posted Oct 2
Professional networking, job search, recruiting, online learning, and B2B marketing services
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About the role
LinkedIn Learning Solutions Engineering India is a ground-up, AI-first organization building scalable systems and consumer-grade experiences that connect skills, learning, career growth, and internal mobility across LinkedIn Learning and the enterprise Career Hub. The team is building AI-powered experiences for skills intelligence, skill-gap detection, personalized recommendations, and workforce transformation at LinkedIn's scale. This Staff Engineer role will lead the design and delivery of AI-native systems, setting technical direction for applying LLMs and agentic systems from prototyping to production-grade, evaluated, and observable systems.
What you will 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
- 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
- Drive technical decisions on model selection, fine-tuning vs. prompting trade-offs, and build-vs-buy for AI infrastructure
- Mentor senior and mid-level engineers; raise the technical bar for applied AI practices org-wide
- Stay current with the fast-moving LLM/agent ecosystem and pragmatically bring relevant advances into the roadmap
Skills used in this role
What the employer is looking for
- 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
Preferred qualifications
- 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
- Excellent communication skills; able to explain AI system trade-offs to both technical and non-technical stakeholders
Benefits and support
- Compensation and benefits are detailed in the job posting
About LinkedIn
LinkedIn is the world's largest professional network, connecting over a billion users globally to create economic opportunity. Owned by Microsoft, the platform provides tools for job searching, professional networking, B2B marketing, sales intelligence, and online learning. Through its data graph, it bridges the gap between global talent and enterprise organizations.
- Industry
- Professional Network
- Company size
- 10001+ employees
- Founded
- 2003-05-05
- Location
- Sunnyvale, California, USA
- Funding stage
- Public Company
Funding
Public Company · $103.5M raised
- 2003-11-01Seed$4.7M
- 2004-08-01Series A$10M
- 2007-01-15Series B$53M
- 2008-06-01Series C$22.7M
- 2014-05-15Post Ipo Debt$500M
Leadership
Chief Executive Officer
EVP of LinkedIn and Microsoft Office
President of Platforms and Digital Work
Senior Vice President & Chief Financial Officer
Senior Vice President & Chief Business Officer
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