AI Engineer (Junior)

Neutron; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

Neutron is seeking an AI Engineer to develop and adapt AI model capabilities for cybersecurity use cases, including security assessment automation, vulnerability analysis, remediation planning, and controlled deployment across cloud and air-gapped environments.

You will build agentic workflows for AI-assisted assessment and remediation, orchestrate AI-powered security testing, and ensure safe, auditable outputs through guardrails and evaluation methods.

Qualifications

• 3–5+ years of experience in AI engineering or related fields.
• Experience with AI/ML/agentic frameworks, AI orchestration, LLMs, modal adaptation, model-serving, or fine-tuning.
• Good understanding of cybersecurity workflows, vulnerability management, application security, and security automation.
• Familiarity with cloud AI services, GPU-based model deployment, containerisation, and secure deployment practices.
• Ability to evaluate model performance using defined benchmarks, datasets, and operational use cases.

Responsibilities

• Develop and optimise AI model capabilities for cybersecurity use cases.
• Build agentic workflows for AI-assisted vulnerability assessment, remediation recommendation, validation, and secure code fixes.
• Orchestrate AI-powered cloud security testing and integrate findings into the security assessment platform.
• Integrate AI capabilities with approved cybersecurity tools, scan outputs, and reporting workflows.
• Establish guardrails, approval gates, and evaluation methods to ensure reliable, secure, and controlled AI-generated outputs.
• Benchmark AI model and workflow performance across cloud and air-gapped environments.

Skills

AI engineering

AI orchestration

LLMs

Model serving

Security automation

Job description

Role Summary

Develop and adapt AI model capabilities for cybersecurity use cases, including security assessment automation, tool orchestration, vulnerability analysis, remediation planning, and controlled deployment into both cloud-based and air-gapped environments.

Key Responsibilities

• Develop and optimise AI model capabilities for cybersecurity use cases.


• Build agentic workflows for AI-assisted vulnerability assessment, remediation recommendation, validation, and secure code fixes.


• Orchestrate AI-powered cloud security testing and integrate findings into the security assessment platform.


• Integrate AI capabilities with approved cybersecurity tools, scan outputs, and reporting workflows.


• Establish guardrails, approval gates, and evaluation methods to ensure reliable, secure, and controlled AI-generated outputs.


• Benchmark AI model and workflow performance across cloud and air-gapped environments.

Key Requirements

• 3–5+ years of experience in AI Engineering, or related fields.


• Experience in AI/ML/Agentic frameworks, AI orchestration, LLMs, modal adaptation, model-serving, or fine-tuning.


• Good understanding of cybersecurity workflows, vulnerability management, application security, and security automation.


• Familiarity with cloud AI services, GPU-based model deployment, containerisation, and secure deployment practices.


• Ability to evaluate model performance using defined benchmarks, datasets, and operational use cases.

Preferred Attributes

• Able to evaluate AI performance using data and benchmarks.


• Able to iterate quickly and adjust approach when solutions do not meet requirements.


• Comfortable building AI capabilities for controlled, offline, and air-gapped environments.


• Strong awareness of AI safety, guardrails, governance, and handover requirements.