Sr AI Platform Engineer – Retrieval & Knowledge Systems
Core
Design and build core AI knowledge infrastructure enabling applications and agents to discover, retrieve, and reason over large-scale enterprise data.
Role type
Senior IC backend/platform engineer (AI retrieval & knowledge systems)
Builds
High-scale retrieval systems, RAG infrastructure, data pipelines, and low-latency APIs for AI agents
Domain
Financial services / AI infrastructure / Distributed systems
Deliverable
production ML models | infrastructure
Required skills
Distributed systems design, Search & retrieval architectures, API & microservices development, Cloud-native architecture, Java/Python/Go programming, Data pipeline engineering
Preferred skills
Vector databases, RAG systems, Kubernetes, Kafka/streaming pipelines, LLM integration patterns
Technologies
Elasticsearch/OpenSearch, Vector databases, Kafka, Kubernetes, Java, Python, Go
Responsibilities
Design and build high-scale retrieval systems combining keyword, semantic, and vector-based search; Develop RAG infrastructure including indexing, retrieval, ranking, and context assembly; Build streaming and batch pipelines for ingesting and transforming structured and unstructured data; Build low-latency, highly available APIs exposing retrieval services to applications and AI agents; Lead design and architecture of large-scale AI platform components; Mentor engineers on distributed systems and AI engineering practices
Seniority
Senior, hands-on IC with technical leadership
