Software Engineer (AI/ML)

Hyphen Partners; Singapore; On-site; SGD 110,000 - 160,000; Full time

Job summary

Hyphen Partners in Singapore is seeking a Software Engineer for AI Search Infrastructure to join a high-ownership team. You will work on the full stack of the search infrastructure, from crawling to retrieval, ML performance, and new product surfaces.

The role emphasizes hands-on coding and end-to-end ownership from day one. We are open to strong engineers from top CS programs to more experienced hires, with a flat, high-ownership culture.

Qualifications

• Experience building low-latency, large-scale systems.
• Strong fundamentals in distributed systems and algorithms.
• Proficiency in Rust or C++ is a strong plus.

Responsibilities

• Work across the search and retrieval stack from crawling to ML integration.
• Own end-to-end features with hands-on contribution from day one.
• Collaborate with a flat, ownership-driven team.

Skills

Distributed systems

Rust

C++

Low-latency systems

Problem solving

Job description

Software Engineer (AI Search Infrastructure).

Location: Singapore on site.

Our client is a global AI-Native leader in search infrastructure, they are backed by tier 1 VCs, used by leading AI native businesses and enterprises globally, and behind hundreds of thousands of developers building on top of it.

We're looking top tier software engineers as part of a high-leverage team that ships across the entire search and retrieval stack: crawling, parsing, ML systems performance, retrieval algorithms, and new product surfaces. Past output from this team includes shipping entirely new product lines from scratch, cutting ML inference latency multiple times over, and making core infrastructure several times faster. You'll move between problem areas as the business needs it, with real end-to-end ownership from day one.

We're looking for strong distributed systems and coding fundamentals — comfort with Rust or C++ is a strong plus, and hands-on experience with low-latency, large-scale systems will set you apart. We're open on seniority, from strong engineers a couple years out of top CS programs through to more experienced hires, but this is a flat, high-ownership org — we need hands-on engineers, not people managers.

Backgrounds that tend to work well: engineers from top-tier AI/infra companies or ambitious AI-native startups, and quant researchers/quant developers