Senior Research Engineer, Safety

Job summary

Responsibilities

As a Research Engineer focused on Safety, you’ll be responsible for making Decagon’s AI agents safe, reliable, and controllable, from evaluation through production. You’ll identify real-world failure modes and build the models, evaluations, and safeguards that prevent them.

• Research and build safeguards against prompt injection, unsafe tool use, sensitive-data disclosure, policy violations, and hallucinated commitments
• Build adversarial evaluations, simulations, red-team datasets, and regression suites informed by production failures
• Develop and deploy classifiers, judges, reward signals, post-training methods, and runtime safeguards for safer agent behavior
• Analyze production traces and incidents to identify root causes, test mitigations, and measure their impact
• Partner with Security, Product, Infrastructure, Legal, and customer-facing teams to turn enterprise requirements into scalable safeguards and rollout practices

What they're looking for

• 4+ years of experience in AI/ML engineering, research, or AI safety
• Hands-on experience evaluating, post-training, or deploying language models or agentic systems
• Experience with modern post-training techniques, such as reinforcement learning, preference optimization, distillation, model routing, and synthetic-data generation
• Experience with adversarial testing, model red teaming, prompt injection, policy enforcement, privacy, or safe tool use
• Fluency in Python and modern ML tooling, with strong experimental judgment and the engineering depth to ship production systems

Tech stack

• Python