Software Engineer

Antler; United States; Hybrid; USD 29,000 - 47,000; Full time

Job summary

Obiguard’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

Qualifications

• 3+ years building production backend systems in Go, Python, or Rust.
• Experience with distributed systems, observability, and debugging production incidents.

Responsibilities

• 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.

Job description

Department

ENGINEERING

Location

Kuala Lumpur · Remote-friendly

Type

Full-time

Open to part-time arrangements, and we welcome internship applications for this role.

About the role

Obiguard’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.