Software Engineer (AI Engineering)

Ensign InfoSecurity; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

Ensign InfoSecurity seeks a Software Engineer for AI Engineering to design, build, and deploy an autonomous penetration testing platform leveraging LLMs and AI agents. You will craft production-grade backend services, frontend dashboards, and integrate AI components to support secure, scalable offensive security workflows.

Collaborate with AI researchers, cybersecurity specialists, and DevOps engineers to deliver reliable platform capabilities, enterprise-grade security, and robust SDLC-aligned

Qualifications

• Must have 2+ years of professional software engineering experience.
• Backend development experience with Python, Go, or similar languages.
• Experience with frontend frameworks (React, Next.js) and TypeScript/CSS.
• Proficiency with Linux environments and CLI tools.
• Strong analytical thinking and attention to detail.
• Understanding of offensive security, penetration testing methods, or cybersecurity frameworks.

Responsibilities

• Design and implement backend microservices to orchestrate autonomous agents and workflow automation.
• Develop frontend interfaces and dashboards using TypeScript, React, Next.js, and Tailwind CSS.
• Ensure scalability, performance, and maintainability through robust architecture.
• Integrate LLM-based automation and reasoning into testing workflows.
• Develop prompt orchestration, model chaining, and contextual reasoning for AI agents.
• Collaborate with AI researchers to translate prototypes into production APIs.
• Incorporate AI security considerations in design and development of agents and tools.
• Support secure operation through logging, monitoring, and sandbox isolation.

Skills

Full-stack development

Python

Go

TypeScript

React

Linux

Cybersecurity familiarity

Tools

Docker

Kubernetes

CI/CD

OpenAI API

Cloud (AWS/GCP/Azure)

PostgreSQL/MySQL

Job description

Software Engineer, AI Engineering, Consulting

Summary

The Software Engineer for AI Engineering is responsible for the design, development, and deployment of an autonomous penetration testing platform that leverages Large Language Models (LLMs) and AI agents to enhance automated offensive security capabilities.

This role involves building production-grade services that support both staging and production environments. The incumbent will collaborate closely with AI researchers, cybersecurity specialists, and DevOps engineers to deliver a secure, scalable, and reliable platform supporting continuous penetration testing operations.

Duties and Responsibilities

• Design and implement backend microservices in languages such as Python and Go for orchestrating autonomous agents and workflow automation.
• Develop frontend interfaces and dashboards using languages and frameworks such as TypeScript, React, Next.js, and Tailwind CSS to manage, visualise, and report testing activities.
• Ensure system scalability, performance, and maintainability through robust architecture, modular design, and efficient code practices
• Integrate LLM-based automation and reasoning components into penetration testing workflows
• Develop prompt orchestration, model chaining, and contextual reasoning capabilities for AI agents
• Work with AI researchers to translate prototype logic into production-ready components and APIs
• Incorporate AI security considerations into design and development of AI agents, MCP tools and other APIs
• Support secure operation of the AI platform through logging, monitoring, and sandbox isolation mechanisms
• Adhere to best practices for software development lifecycle (SDLC) standards and documentation requirements
• Ensure code quality through automated testing, code reviews, and version control practices
• Comply with cybersecurity and data protection requirements in all development activities

Requirements

• Minimum 2+ years of professional experience in full-stack or backend software engineering roles
• Backend Development experience with Python, Golang, or other similar languages.
• Experience with frontend frameworks (React, Next.js) and languages (TypeScript, CSS).
• Proficiency with Linux environments and command-line tools.
• Strong analytical thinking and exceptional attention to details.
• Understanding of offensive security, penetration testing methodologies, or cybersecurity frameworks such as MITRE ATT&CK or OWASP

Nice to Haves

• Experience with AI development tools such as Cursor, GitHub Copilot, or Claude.
• Hands-on experience integrating and deploying AI applications using foundation model APIs and inference services, including OpenAI, Anthropic, and local/self-hosted LLM providers.
• Demonstrated experience deploying applications to production environments (with Docker / Kubernetes), and modern CI/CD pipelines.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and database systems (PostgreSQL, MySQL, etc)
• Exposure to AI agent frameworks (Agno, Claude Agent SDK), LLM orchestration, or prompt engineering
• Experience in event-driven architecture or distributed systems
• Knowledge of secure coding practices and DevSecOps principles
• Prior work in cybersecurity, AI or adjacent domains.