Sr AI Platform Engineer – Retrieval & Knowledge Systems

Job summary

Where Ambition Meets Innovation Build a career that matches all your initiative with an impressive dose of innovation. From cutting-edge resources and a collaborative environment to the freedom to make an impact and more, you’ll find the ingredients you need at LPL*** to shape your success while helping clients pursue their financial goals.

Benefits

Qualifications

• The ideal candidate is a strong backend/platform engineer with deep experience in building scalable systems and modern AI-powered retrieval architectures.
• Minimum of 8 years of experience in backend or platform engineering.
• Experience building distributed systems, search platforms, or large-scale data services.
• Hands-on experience with APIs, microservices, and cloud-native architectures.
• Experience with search systems, indexing, or retrieval pipelines.
• Experience programming

Responsibilities

• You will work at the intersection of search, vector retrieval, LLMs, and real-time data systems, building high-performance platforms used by AI and application teams.
• AI Retrieval & Search Platform
• Design and build high-scale retrieval systems combining keyword search, semantic search, and vector-based retrieval.
• Develop RAG (Retrieval-Augmented Generation) infrastructure including indexing, retrieval, ranking, and context assembly.
• Build and optimize search indices, vector stores, and hybrid retrieval systems for relevance, latency, and scale.
• Implement advanced ranking, relevance tuning, and personalization pipelines.
• Data Pipelines & Indexing Systems
• Build streaming and batch pipelines for ingesting and transforming structured and unstructured data.
• Develop enrichment pipelines (chunking, embeddings, metadata extraction, classification).
• Design systems for real-time indexing, incremental updates, and freshness guarantees.
• Optimize data flow, storage, and compute efficiency at scale.
• AI Platform Services & APIs

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