Software Engineer

Own the inspection layer. Design and ship detectors, improve latency, and work directly with customers debugging production incidents. Department: ENGINEERINGLocation: Kuala Lumpur · Remote-friendlyType: Full-time (Open to part-time; internship applications welcome) How to applyEmail your CV to [email protected] with the role title in the subject line. About the roleObiguard’s inspection pipeline sits in the critical path between customer applications and their LLMs — every prompt and response passes through it in single-digit milliseconds. As a Software Engineer, you’ll build and harden this pipeline: the detectors, the policy engine, and the audit ledger that enterprise security teams depend on in production. This is a forward-deployed engineering role — during pilots, you may be deployed on-site at client offices for stretches of up to three weeks at a time, debugging integration issues and production incidents in person. What you'll do- Design, build, and ship detectors for the inspection pipeline — covering PII, prompt injection, toxicity, and framework-specific policy rules.- Improve p50/p99 latency on the synchronous, in-path inspection layer without compromising detection accuracy.- Own services end-to-end: design, implementation, testing, deployment, and on-call.- Work directly with customers during pilots to debug production incidents and edge cases in real deployments.- Collaborate with the AI Safety Research team to turn new attack research into shipped detectors.- Contribute to the audit ledger and framework-mapping systems that back our compliance guarantees. What we're looking for- 3+ years building production backend systems, ideally in Go, Python, or Rust.- Comfortable working in the critical path of a low-latency system — you think in milliseconds, not seconds.- Experience with distributed systems, observability, and debugging production incidents under pressure.- Solid understanding of security fundamentals; prior application security or infra security experience is a strong plus.- Bias toward shipping — comfortable owning a feature from design doc to production rollout.- Comfortable with extended client-site deployments — this is a forward-deployed role, with on-site stints of up to three weeks at a time during active pilots. Nice to have- Experience building or operating LLM-adjacent infrastructure (RAG pipelines, agent frameworks, model gateways).- Familiarity with compliance frameworks (SOC 2, ISO 27001, ISO 42001, NIST AI RMF).- Open-source contributions to security or infra tooling.