Senior AI Quality Engineer for AI-First Platforms

XYZ Venture Capital; Boston (MA); On-site; USD 146,000 - 194,000; Full time

Benefits offered by this job

Equity grants

Health benefits

Total compensation package

Job summary

Anduril Industries in the United States is seeking a quality and reliability lead for a senior AI development pod. You will design test strategies, validate AI-enabled software, and collaborate with engineers to identify failure modes across code, prompts, models, and infrastructure.

You will drive automated testing, observability, and operational safeguards to ensure deployment confidence and robust production systems in an AI-first environment.

Qualifications

• 5+ years of experience in software engineering or related role in a fast-paced environment.
• Experience building or operating reliable production software systems.
• Strong fluency in modern software architectures, APIs, distributed systems, CI/CD.

Responsibilities

• Act as the quality and reliability lead within a senior AI development pod.
• Design and implement test strategies, validation approaches, and release readiness criteria for AI-enabled software.
• Partner with software and AI engineers to identify failure modes across code, prompts, models, integrations, and infrastructure.
• Build confidence in fast-moving solutions through automated testing, observability, instrumentation, and safeguards.
• Help define practical standards for reliability, resiliency, debugging, and production operations in an AI-first model.
• Contribute in code, infrastructure, and tooling to improve delivery confidence and production stability.

Job description

Anduril Industries in the United States is seeking a quality and reliability lead for a senior AI development pod. You will design test strategies, validate AI-enabled software, and collaborate with engineers to identify failure modes across code, prompts, models, and infrastructure.

You will drive automated testing, observability, and operational safeguards to ensure deployment confidence and robust production systems in an AI-first environment.