Associate Software Engineer (AI Engineering)

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

1. 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

1. 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.