Sr. Software Engineer, AI Hiring Assistant

Company Description

Linked In is the worlds 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.

At Linked In, 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 Linked In office on select days, as determined by the business needs of the team.

We are seeking a Senior Staff Software Engineer to define and lead the technical strategy for Search and Recommendation in Linked In’s Talent Solutions. This team powers large-scale search retrieval, ranking, and qualification-based evaluation of Linked In members. Talent Solutions products enable millions of professionals and organizations to connect more effectively.

In this role, you will serve as the technical lead, shaping long‑term architecture driving the application of the latest advancements in AI‑including semantic search, embeddings, and Generative AI/LLMs. You’ll translate these innovations into scalable systems and impactful product capabilities that enhance customer adoption, deliver measurable value, and drive revenue growth across Linked In’s hiring product.

• You will deliver impact by driving innovation while building and shipping software at scale.
• You will work closely with and influence product and/or technology partners regularly to help define a long‑term technology roadmap.
• Owning the technical strategy for broad or complex requirements with insightful and forward‑looking approaches that go beyond the direct team and solve large open‑ended problems.
• Functioning as the tech‑lead for several concurrent key initiatives across Search and AI Infrastructure, AI modeling and defining the future of AI‑enabled products.
• You will execute on product and technical work streams by collaborating with engineering, product managers, designers, other software development teams, and business partners.
• You will be a role model and professional coach for engineers with a strong bias for action and focus on craftsmanship.
• You will resolve conflicts between teams within the organization to get alignment and build team culture.
• You will create a collaborative work environment that fosters autonomy, transparency, innovation, and learning.

Basic Qualifications:

• BA/BS Degree in Computer Science or related technical discipline, or equivalent practical experience‑
• 5+ years of experience in software design, development, and algorithm related solutions
• 5+ years of experience with large‑scale distributed systems and client‑server architectures
• 5+ years of experience in programming languages such as Python, Java, Rust, C#, C/C++
• 3+ years of experience in an architect or technical leadership position
• Preferred Qualifications‑
• 10+ years of experience in software design, development, and algorithm related solutions
• 2+ years’ experience building ML applications, LLM serving, GPU serving.
• 2+ years working on search retrieval and ranking.
• 1+ years of working on GenAI applications (Prompt engineering optimizations, Fine tuning, etc.)
• Experience with machine learning or related technology
• Experience building large‑scale consumer products
• Experience in leading cross‑organization, cross‑functional efforts and successfully delivering transformational technology for hard problems
• Active involvement in the creation and execution of technical strategies and roadmaps

• Technical Leadership
• Distributed Systems
• Information retrieval / recommendation systems
• Knowledge of systems with Machine Learning and Deep Learning

We strongly believe in the well‑being of our employees and their families. That is why we offer…