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AI Engineer
Not specifiedFull-timeAI EngineeringCybersecurity
Develop LLM agents and production AI systems that investigate and remediate cloud security threats. Work across research, experimentation, and product engineering to deliver autonomous security workflows.
Responsibilities
- Build LLM agents to investigate, triage, and remediate cloud security threats.
- Prototype models and agent designs, then bring successful approaches into production.
- Train, fine-tune, and evaluate models using runtime, cloud, identity, and network data.
- Develop internal AI services, pipelines, evaluations, and observability.
- Collaborate with security research, product, and engineering teams to deliver autonomous workflows.
Requirements
- At least 3 years building production AI/ML systems, including LLM agents.
- Strong backend engineering skills and proficiency in Python.
- Experience training or fine-tuning machine learning models and LLMs.
- Understanding of prompting, context engineering, evaluation pipelines, LLM-as-judge, regression testing, and production monitoring.
- Ability to conduct AI research, design rigorous experiments, and benchmark techniques.
- Bachelor's or master's degree in Computer Science, Data Science, or a related field.
Nice to have
- Cybersecurity experience, such as cloud security, threat detection, or incident response.
- Experience with AWS, GCP, Azure, or Kubernetes.
- Research publications, open-source contributions, or other evidence of AI expertise.