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[← Back to the shortlist](https://taskbull.si/AIJobs/#jobs) D Decagon Curated employer source

# Research Engineer, Safety

San Francisco / New York City · In-office

Python Red teaming Post-training Prompt-injection defence

THE OPPORTUNITY

## A role wortha closer look.

Help conversational agents handle enterprise work safely in real deployments. Investigate failures involving tool use, sensitive data and prompt injection, then build adversarial tests and safeguards that address them. Work across research, security and product teams to evaluate interventions and deploy more reliable agent behaviour.

### Experience highlighted by the employer

- At least two years in AI or ML engineering, research or safety, including hands-on language-model or agent work.
- Python fluency and experience with adversarial testing, post-training methods or production safeguards.

### Location & eligibility

Locations are San Francisco and New York City. The description identifies Decagon as an in-office company. Confirm work authorization and sponsorship directly; no sponsorship promise was found in the reviewed text.

### Compensation

USD $200,000–$400,000 / year. Employer-published annual range plus equity; final compensation can depend on experience and US location.

### Before you apply

This is TaskBull’s concise summary, not the employer’s full job description. Review the complete responsibilities, terms, accessibility information and privacy notice on the original application page.

[Read the full employer listing ↗](https://jobs.ashbyhq.com/decagon/f84db19b-8de3-49d6-a954-c9ee2e365956)

YOUR NEXT STEP

## Make yourwork count.

Apply directly with Decagon. Your application stays with the employer and its hiring platform.

[Apply with employer ↗](https://jobs.ashbyhq.com/decagon/f84db19b-8de3-49d6-a954-c9ee2e365956) Employer Decagon Work arrangement Onsite Source checked 2026-10-30 Review window ends 2026-11-13 The review date is our freshness limit, not the employer’s application deadline.

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