Distinguished Software Engineer, AI
New
S
SecurityScorecardCybersecurity software
Remote (US/CAN/LATAM). We're hiring across United States, Canada, and Latin America.Full-TimePrincipal
SalaryFor candidates based in U.S. locations, the estimated total compensation range for this position is $350,000-$400,000 USD, all base salary. For candidates based in Canada, the estimated total compensation range for this position is $400,000-$500,000 CAD, all base salary. For candidates based in Argentina/Brazil, the estimated total compensation range for this position is $175,000-$250,000 USD, all base salary. This role also includes a substantial equity grant on top of cash compensation.
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Job Details
- Experience
- 10+ years building and shipping production software
- Required Skills
- AWSDockerKubernetesTypeScriptGoCI/CDDistributed Systems
Requirements
- Have 10+ years of experience building and shipping production software.
- Have a track record at strong engineering companies, such as big tech or high-growth startups.
- Demonstrate that you have driven direction on your teams.
- Bring deep computer science and system design fundamentals, including the ability to explain how distributed systems fail.
- Have heavy, hands-on experience using AI coding tools on real codebases.
- Have experience building with LLMs, including agents, tool use, evaluations, prompt design, and context design.
- Be proficient in TypeScript and have strong backend engineering fundamentals.
- Have experience designing and operating distributed systems in cloud environments; AWS is preferred.
- Have hands-on experience with CI/CD, Docker, Kubernetes, and production deployment practices.
- Be comfortable with ambiguity and a team that changes shape.
Responsibilities
- Run agentic coding workflows on production code and identify what holds up at scale.
- Build tooling, guardrails, evaluations, and review practices that support trusted agent-written code.
- Design systems for agent-written code and decide where humans need to remain in the loop.
- Ship product changes and use them to test new engineering practices.
- Build and ship customer-facing AI-powered product features using TypeScript, Go, and AWS.
- Architect agentic workflows, LLM pipelines, and intelligent automation for customer security insights.
- Integrate foundation models into product surfaces, considering latency, cost, output quality, and evaluation.
- Lead architecture and code reviews focused on reliability, security, and maintainability.
- Own projects from concept through production, monitoring, and post-launch improvement.
- Pair with engineers, interview candidates, and document lessons for other teams.
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