Sr. Software Engineer - Professional Archive Search & AI

Support and empower your team by contributing to a collaborative, inclusive, and respectful work environment

Partner with engineers and stakeholders to design and deliver scalable search and data solutions

Help bridge traditional lexical search and modern semantic search approaches

Design and implement hybrid search strategies combining keyword-based and vector-based retrieval

Work with vector databases to manage and query high-dimensional embeddings

Design and optimize retrieval-augmented generation (RAG) pipelines, including handling long documents and retrieval quality

Contribute to knowledge graph–driven approaches to enhance search relevance and data relationships

Build and maintain high-throughput streaming data pipelines (e.g., Kafka) for real-time ingestion and indexing

Contribute to architectural decisions that improve system scalability, reliability, and observability

Participate in a shared on-call rotation to support service reliability and incident response with a focus on learning and prevention

Collaborate with Product and Engineering to define technical requirements, timelines, and deliverables

Apply modern engineering practices, including Agile methodologies, CI/CD pipelines, and DevOps principles

Review code, identify areas for improvement, and help reduce technical debt

Troubleshoot and resolve production issues to maintain high availability and performance

Stay current with emerging technologies in search, AI, and data systems, and evaluate their impact

Deploy and manage applications in Kubernetes environments

Monitor application health and performance using tools such as Splunk, Datadog, and Grafana