Remote Applied AI Engineer for Security Investigations

Weve Security Limited; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Weve Security Limited seeks an applied engineering lead to ship AI/ML-backed security features. You’ll build investigation agents, assemble context from multiple systems and ensure conclusions are traceable and robust in production.

You’ll collaborate with security researchers and backend engineers to balance accuracy, latency and cost, design experiments, evaluate models, and implement safeguards around data access and tooling.

Qualifications

• Experience shipping AI or ML-backed features.
• Strong software engineering skills and ability to build reliable data, model and tool integrations.
• Hands-on experience with LLM tool use, retrieval or multi-step reasoning.
• An experimental approach: baseline, isolate changes, evaluate cases and inspect regressions.
• Comfort making trade-offs between accuracy, latency, compute cost and operational complexity.

Responsibilities

• Build investigation agents that gather evidence across connected systems, choose appropriate tools and retain traceable support for their conclusions.
• Design retrieval and context assembly around identities, activity and resources, including conflicting records and incomplete information.
• Evaluate lightweight models, custom machine learning and frontier models for different tasks. Choose based on measured quality, latency and cost.
• Create repeatable evaluations for factual support, false escalation, missed evidence and robustness to noisy or adversarial inputs.
• Implement safeguards around tool permissions, sensitive data and untrusted content encountered during an investigation.
• Monitor production behaviour and work through failures with researchers and field engineers. Turn failure analysis into better datasets, tools and system design.

Skills

AI/ML features

Software engineering

LLM tooling

Experimentation

Trade-offs

Job description

Weve Security Limited seeks an applied engineering lead to ship AI/ML-backed security features. You’ll build investigation agents, assemble context from multiple systems and ensure conclusions are traceable and robust in production.

You’ll collaborate with security researchers and backend engineers to balance accuracy, latency and cost, design experiments, evaluate models, and implement safeguards around data access and tooling.