Design and scale core infrastructure for large-scale data ingestion, retrieval, and AI-driven systems. Strong engineering fundamentals required. Experience with Rust, C++, or similar low-level languages preferred.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
About the firm
A well-funded AI infrastructure company building large-scale search and retrieval systems for AI-native applications. The team operates across distributed web crawling, embedding model training, and high-performance backend infrastructure, running workloads across significant GPU and compute clusters.
Role objective
Design and scale core infrastructure powering large-scale data ingestion, retrieval, and AI-driven systems. This role focuses on performance, reliability, and system design across distributed environments.
What you’ll work on
- Large-scale crawling and ingestion systems
- High-throughput backend services and data pipelines
- Distributed compute orchestration and observability
- Tooling and infrastructure supporting ML and search workflows
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Requirements
- 4+ years’ experience building distributed or performance-critical systems
- Strong engineering fundamentals; experience with Rust, C++ or similar low-level languages preferred
- Experience operating production systems at scale
- High ownership mindset, comfortable in small, senior teams
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Why this role
- Deep systems engineering at genuine internet scale
- Significant GPU and distributed compute infrastructure
- Small, high-calibre team with strong technical bar
- Visa sponsorship and relocation to Singapore
- Competitive base (up to USD 300k) plus meaningful equity
📩 katie.huang@bahpartners.com
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