Backend Engineer (Junior)

Neutron Pte. Ltd.; Santo Niño 1st; On-site; PHP 900,000 - 1,500,000; Full time

Job summary

Neutron Pte. Ltd. is hiring an AI Engineer to develop and adapt AI model capabilities for cybersecurity use cases, including automation, tool orchestration, vulnerability analysis, remediation planning, and controlled deployment into cloud-based and air-gapped environments.

The role involves building agentic workflows for AI-assisted assessments, integrating with cybersecurity tools and reporting, and establishing guardrails and evaluation methods to ensure reliable outputs.

Qualifications

• 1–5+ 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.
• 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.

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/ML frameworks

Agentic systems

AI orchestration

LLMs

Model serving

Fine-tuning

Cloud deployment

Containerisation

Security automation

Benchmarking

Job description

About the role

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.

About you

• 1–5+ 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.

• 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.