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Hamming AI

Automated testing for AI voice agents

AI Red Team Engineer

Offensive Security & TestingConfirmed live in the last 24 hours
Full-timeAustin, TX, USA

About the Job

Requirements

  • At least 3 years of experience building backend services, asynchronous workers, or test infrastructure in Python or TypeScript, including handling failure cases and writing tests.
  • An adversarial mindset demonstrated through offensive tooling, capture-the-flag competitions, fuzzing, or a security project.
  • Judgment about when automated evaluation is sufficient and when human review is needed.
  • Knowledge of idempotency, backpressure, observability, and enforceable limits.

Responsibilities

  • Build an attack harness in which new techniques are represented as new definitions rather than new systems.
  • Generate useful variations by branching multi-turn scenarios and voice conditions with explicit objectives and conditions.
  • Make results trustworthy by distinguishing and making inspectable successful attacks, refusals, infrastructure failures, and inconclusive results.
  • Make findings reproducible by recording scenarios, configurations, model versions, tool events, outcomes, replays, and comparisons.
  • Convert validated findings into regression tests that run on every change while controlling noise.

Desired Qualifications

  • Experience with agent frameworks, voice or telephony systems, or large language model evaluation infrastructure.
  • A personally discovered and responsibly disclosed security finding.

About the Company

Hamming AI

Automated testing for AI voice agents

Hamming AI provides a platform-as-a-service for automated testing and monitoring of AI voice agents used in customer support. It runs large-scale simulations of thousands of calls across diverse accents and real-world scenarios, collects metrics, analyzes speech understanding and response accuracy, and flags issues, with built-in testing workflows, analytics, and governance. It differentiates itself by offering high-scale, diverse-accent voice-call simulation together with analytics and governance in one platform for AI-driven customer service like drive-through and phone support, aimed at preventing issues before deployment and during ongoing operation. Its goal is to help businesses deliver reliable, accurate, and efficient voice AI customer service, improving customer experiences and operational efficiency.

Company size
11-50
Company stage
Seed
Total funding
$3.9M
Headquarters
Austin, TX
Founded
2024

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