The Rundown AI, Inc.
AI Engineer - Personalization Infrastructure
The Rundown AI, Inc., Palo Alto, California, United States, 94306
Perplexity is seeking experienced AI Infrastructure Engineers to build the next generation of personalization infrastructure. In this role, you will develop cutting-edge systems that give our AI the ability to remember contexts, understand user intents, and deliver highly personalized experiences.
Responsibilities
Architect and ship the next generation of personalization infrastructure: long‑lived LLM memory, long‑context understanding, conversation retrieval, async task execution, and related query retrieval Build event-to-embedding pipelines and feature stores; design vector and hybrid indices; implement retrieval/ranking services that power real‑time, personalized experiences. Partner cross‑functionally with Product and Research to translate signals into durable memory and measurable relevance lift; instrument metrics, run A/B experiments, and iterate quickly. Drive end‑to‑end ownership: data modeling, schema and contracts, batch/stream processing, model training, deployment, observability, and on‑call for owned services. Qualifications
Strong programming skills in production systems with hands‑on experience across data, serving, and infra layers. Proven experience building large‑scale retrieval and indexing infrastructure (vector/hybrid search, inverted indexes). Deep familiarity with LLM‑centric IR: RAG architectures, semantic retrieval, prompt/context optimization, and long‑context strategies. Experience building and deploying ML for personalization: retrieval/ranking models, feature engineering, offline evaluation, and online experimentation (A/B, interleaving). Ownership mindset, bias to action, and ability to deliver in fast‑moving, ambiguous environments. 4+ years of industry experience in distributed systems, search/recommendation, or ML systems. Experience with LLM memory or conversation retrieval is a strong plus. The cash compensation range for this role is $200,000 - $280,000. Final offer amounts are determined by multiple factors, including, experience and expertise, and may vary from the amounts listed above.
Equity: In addition to the base salary, equity
may be part
of the total compensation package.
Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan. #J-18808-Ljbffr
Architect and ship the next generation of personalization infrastructure: long‑lived LLM memory, long‑context understanding, conversation retrieval, async task execution, and related query retrieval Build event-to-embedding pipelines and feature stores; design vector and hybrid indices; implement retrieval/ranking services that power real‑time, personalized experiences. Partner cross‑functionally with Product and Research to translate signals into durable memory and measurable relevance lift; instrument metrics, run A/B experiments, and iterate quickly. Drive end‑to‑end ownership: data modeling, schema and contracts, batch/stream processing, model training, deployment, observability, and on‑call for owned services. Qualifications
Strong programming skills in production systems with hands‑on experience across data, serving, and infra layers. Proven experience building large‑scale retrieval and indexing infrastructure (vector/hybrid search, inverted indexes). Deep familiarity with LLM‑centric IR: RAG architectures, semantic retrieval, prompt/context optimization, and long‑context strategies. Experience building and deploying ML for personalization: retrieval/ranking models, feature engineering, offline evaluation, and online experimentation (A/B, interleaving). Ownership mindset, bias to action, and ability to deliver in fast‑moving, ambiguous environments. 4+ years of industry experience in distributed systems, search/recommendation, or ML systems. Experience with LLM memory or conversation retrieval is a strong plus. The cash compensation range for this role is $200,000 - $280,000. Final offer amounts are determined by multiple factors, including, experience and expertise, and may vary from the amounts listed above.
Equity: In addition to the base salary, equity
may be part
of the total compensation package.
Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan. #J-18808-Ljbffr