Associate Software Engineer (AI Engineering)

Ensign InfoSecurity (Singapore) Pte. Ltd.; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

Ensign InfoSecurity (Singapore) Pte. Ltd. is seeking a Software Engineer to build AI-driven backend and frontend capabilities. You will design microservices in Python/Go, create dashboards in TypeScript/React, and ensure scalable, secure systems for testing workflows.

You will collaborate with AI researchers and security teams to productionise prototypes and maintain robust, auditable code across the stack.

Qualifications

• Minimum 2+ years of professional experience in full-stack or backend software engineering.
• 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 attention to detail; understanding of offensive security/cybersecurity concepts.

Responsibilities

• System design and development of backend microservices for orchestrating autonomous agents and workflow automation.
• Develop frontend interfaces and dashboards to manage, visualise, and report testing activities.
• Ensure system scalability, performance, and maintainability with robust architecture and secure practices.

Skills

Python

Go

TypeScript

React

Next.js

CSS

Linux

CLI

Security concepts

Analytical thinking

Tools

Docker

Kubernetes

CI/CD

AWS

GCP

Azure

PostgreSQL

MySQL

OpenAI API

Anthropic API

Job description

Ensign is hiring !

Software Engineer, AI Engineering, Consulting

Duties and Responsibilities

1. System Design and Development
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

2. AI and Agent Integration

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

3. Quality and Compliance

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 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.