AI answer engine grounding responses in live web sources
Perplexity runs an AI answer engine on a GPU-heavy stack: CUDA, Triton, NCCL, NVLink, InfiniBand and RDMA alongside PyTorch and JAX point to in-house model serving and training at the hardware level. Now adopting RAG and dbt, it is building retrieval pipelines for answer grounding while scaling its search index toward billions of pages. Senior-weighted, engineering-led hiring is accelerating, with a notable security push around AI/ML pipelines.
Notable leadership hires: Site Lead
Perplexity is a privately held company founded in 2022 and headquartered in San Francisco, California. It builds an answer engine that responds to user questions with answers tied to current sources. The company employs 201–500 people and hires across the United States, United Kingdom, Serbia and Germany. Alongside its engineering core, it is building out sales, marketing, design, product, legal and security functions.
Perplexity uses Python, Rust, Go, C++ and Java, with PyTorch, JAX, CUDA, Triton and NCCL for AI workloads, plus Kubernetes, AWS, Terraform, Kafka, Spark and Databricks. It is adopting dbt and RAG.
Yes. Engineering is Perplexity's largest hiring area, skewed toward senior roles, with accelerating hiring across the United States, United Kingdom, Serbia and Germany.
Perplexity is building RAG pipelines for answer grounding, mission-critical APIs, multi-region failover, agent-driven cloud infrastructure management and security assessments of its AI/ML pipelines.
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Perplexity's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.