Senior Staff AI Engineer - Enterprise AI (Agentic AI)

LinkedIn • Mountain View, CA

13h • $191,000 - $315,000 • Hybrid

About The Position

LinkedIn is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun – where everyone can succeed.
Join us to transform the way the world works.
Location:
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.

This role will be based in Sunnyvale, CA.

Team Overview:
LinkedIn’s Enterprise AI team creates meaningful impact by connecting individuals to opportunities! The team works on a wide range of technical solutions including LLM fine-tuning, content generation, LLM-as-a-judge, prompt engineering, embedding-based retrieval, and search/ranking.

The team has an ambitious roadmap and partners closely with Core AI (Foundational AI), Product, and other teams to deliver scalable, modern AI solutions with global member impact. The key focus is our agentic Hiring Assistant or LiHA product which is one of the top products for LinkedIn in 2026.

If you’re looking to lead a highly visible, fast-moving, and exceptionally talented team at the intersection of cutting-edge innovation and real-world impact—and have fun while doing it— Enterprise AI is the place for you!

Requirements

• Bachelor’s degree in Computer Science or related technical field or equivalent technical experience
• 7+ years of industry experience with large-scale recommendation systems

Nice To Haves

• 4+ years of technical leadership (Staff+) experience, including recent experience at the Senior Staff / L7 / Principal Engineer level.
• MS or Ph.D. in Computer Science or related technical discipline
• Experience designing agentic architecture, framework, and/or orchestration systems.
• Strong understanding of reinforcement learning (RL) techniques and their application to agent training in language-based environments.
• Experience with specific techniques for improving LLM post-training: e.g., program synthesis, symbolic reasoning, or neuro-symbolic AI.

Responsibilities

• Provide expert thought leadership, technical guidance, and direct contribution for a team of 15-25 engineers working on high-impact initiatives for one of LinkedIn's top products.
• Lead the design of conversational and agentic AI systems that perform functions related to talent acquisition.
• Build and scale production-grade LLM agents that collect structured candidate signals, answer questions, and orchestrate multi-step, tool-using workflows with memory and reasoning.
• Develop automated screening and interview agents to accelerate qualification, improve signal quality, and reduce time-to-interview while ensuring fairness and compliance.
• Define technical direction and impact metrics, connecting conversational quality to downstream hiring outcomes and leading experimentation in enterprise-scale environments.
• Evaluate and drive key engineering decisions such as whether to fine tune models or leverage off the shelf, how to best implement RAG, etc.
• Collaborate with many talented AI Engineers, leaders, and cross-functional partners
• Contribute to solutions as an expert technical practitioner

Benefits

• We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.
• LinkedIn is committed to fair and equitable compensation practices.
• The pay range for this role is $191,000 - $315,000.
• Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location.
• This may differ in other locations due to cost of labor considerations.
• The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans.
• For additional information, visit: https://careers.linkedin.com/benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level