Data Engineer (AI)

Location: London, United Kingdom; on-site

Company

Building an AI platform that transforms intellectual property workflows and serves global IP teams with substantial reported efficiency gains.

What you will do

• Build and operate high-throughput, resumable ingestion pipelines with incremental updates, monitoring, and failure recovery.
• Process complex documents and multimodal data, handle malformed records and changing schemas, and validate outputs while preserving metadata.
• Build keyword, vector, and structured search over tens to hundreds of millions of records.
• Design schemas, indexes, and partitioning for fast, reliable query serving.
• Connect patents, scientific records, and supporting documents while preserving dates, versions, and source traceability.
• Profile and optimize parsing, ingestion, database builds, and queries for throughput, latency, and cost.

Requirements

• Strong Python and SQL skills with experience designing and operating production databases.
• Experience building and operating production data pipelines over large, messy datasets.
• Expertise in search systems for large document collections.
• End-to-end ownership from raw data to user-facing functionality.
• Strong understanding of schema design, indexing, and query optimization.
• Experience diagnosing and resolving live-system performance bottlenecks through profiling and measurement.

Nice to have

• Experience with PostgreSQL, pgvector, OpenSearch or Elasticsearch, Spark or Delta Lake, AWS, NoSQL databases, Rust, or C++.

Culture & Benefits

• Work closely with AI researchers, product engineers, and a founding team of AI PhDs and systems engineers.
• Substantial freedom to choose technical approaches and build systems independently.
• Competitive salary and significant equity with direct ownership of company success.
• Full visa sponsorship and private medical insurance.
• Founding-level impact, free meals, and participation in key technical decisions.